Mostrando entradas con la etiqueta genoma. Mostrar todas las entradas
Mostrando entradas con la etiqueta genoma. Mostrar todas las entradas

jueves, 11 de septiembre de 2014

I Contain Multitudes

Our bodies are a genetic patchwork, possessing variation from cell to cell. Is that a good thing?

Olena Shmahalo for Quanta Magazine

Even healthy brains harbor genetic diversity, though scientists disagree over the extent.

Your DNA is supposed to be your blueprint, your unique master code, identical in every one of your tens of trillions of cells. It is why you are you, indivisible and whole, consistent from tip to toe.

But that’s really just a biological fairy tale. In reality, you are an assemblage of genetically distinctive cells, some of which have radically different operating instructions. This fact has only become clear in the last decade. Even though each of your cells supposedly contains a replica of the DNA in the fertilized egg that began your life, mutations, copying errors and editing mistakes began modifying that code as soon as your zygote self began to divide. In your adult body, your DNA is peppered by pinpoint mutations, riddled with repeated or rearranged or missing information, even lacking huge chromosome-sized chunks. Your data is hopelessly corrupt.

Most genome scientists assume that this DNA diversity, called “somatic mutation” or “structural variation,” is bad. Mutations and other genetic changes can alter the function of the cell, usually for the worse. Disorderly DNA is a hallmark of cancers, and genomic variation can cause a suite of brain disorders and malformations. It makes sense: Cells working off garbled information probably don’t function very well.

Most research to date has focused on how aberrant DNA drives disease, but even healthy bodies harbor genetic disorder. In the last few years, some researchers report that anywhere from 10 to 40 percent of brain cells and between 30 and 90 percent of human liver cells are aneuploid, meaning that one entire chromosome is either missing or duplicated. Copy number variations, in which chunks of DNA between 100 and a few million letters in length are multiplied or eliminated, also seem to be widespread in healthy people.

jueves, 20 de marzo de 2014

ScienceShot: Largest Genome Ever Sequenced

Rob Carr/The Augusta Chronicle/Zuma Press, Inc./Alamy

A loblolly pine tree on the 17th hole of the Augusta National Golf Club in Georgia blocked so many of former President Dwight D. Eisenhower’s shots that in 1956 he tried to get the tree chopped down. Now, loblolly pines (Pinus taeda) are making a different kind of history: Their genome is the largest of any organism yet sequenced. The tree’s extensive use for research and lumber in the southeastern United States made it an early candidate for genetic sequencing. However, its large genome was too cumbersome for conventional whole-genome shotgun sequencing, which sequences short fragments of the genome and then stitches the results together. In a new study, reported today in Genome Biology, researchers bolstered the shotgun approach by preprocessing the individual fragments using genetic cloning, allowing them to more easily assemble the complete genome. Using a single pollinated pine seed, the team assembled the largest genome ever sequenced: 22.18 billion base pairs, more than seven times longer than the human genome. The team found that 82% of the genome was made up of duplicated segments, compared with just 25% in humans. The researchers also identified genes responsible for important traits such as disease resistance, wood formation, and stress response; they did not, however, find any genes for ruining presidential golf games.

See more ScienceShots.

ORIGINAL: Science Magazine
20 March 2014

martes, 11 de marzo de 2014

Decodificaron el genoma de una bacteria canina

Poco se sabe de la Brucella canis, una bacteria patógena que afecta a perros y humanos.  
Investigadores de la Alma Mater lograron la secuenciación genómica de una cepa local, un paso adelante en la investigación internacional para lograr desarrollos más efectivos de diagnóstico y tratamiento.

Esta bacteria puede ocasionar problemas reproductivos en las hembras caninas, mortalidad neonatal e infertilidad en los machos.

Desde el 2005 un grupo de investigadores de la Alma Mater viene investigando sobre la bacteria Brucella canis. Gracias al trabajo conjunto entre el Grupo de investigación Vericel-Biogénesis, y el Centro Nacional de Secuenciación Genómica de la Universidad de Antioquia —CNSG—, lograron secuenciar y analizar completamente el genoma de esta bacteria patógena.

A través de muestras de sangre de los animales, que habían sido recogidas en varios criaderos de Medellín, los investigadores adelantaron un proceso de diagnóstico que permitió obtener la bacteria aislada y así posteriormente obtener el ADN genómico purificado.

Las pruebas iniciales hicieron que se enfocaran en los factores de riesgo. En un trabajo previo de una estudiante de maestría del grupo, se detectó una seroprevalencia de 15% en caninos de criaderos. Sin embargo, esta prueba no permitía descubrir la bacteria en aquellos animales que recién se habían contagiado.

Brucella canis puede ocasionar problemas reproductivos en las hembras caninas, mortalidad neonatal e infertilidad en los machos
. Mientras que en las personas, si bien en algunos casos el sistema inmunológico puede defenderse, en otros puede acarrear cuadros sistémicos o problemas para las articulaciones. Esta bacteria se contagia a los humanos, en especial a veterinarios o cuidadores, cuando éstos atienden partos o les hacen limpieza a los lugares donde habitan los caninos.

El trabajo de los investigadores esta permitiendo mejorar y estandarizar las pruebas serológicas y moleculares con blancos mucho más precisos, que se comparan con los método tradicionales de hemocultivo. “Así vigilamos si hay signos de la presencia de la bacteria. En este caso hacemos pruebas moleculares para decir 'sí', la bacteria está en el animal”, explicó Miryan Sánchez Jiménez, estudiante de doctorado e investigadora de Vericel-Biogénesis.

En un estudio realizado en varios criaderos del Área Metropolitana, encontraron que en un total de 220 perros muestreados, el 17,2 por ciento tenía la bacteria. Y de 92 personas que analizaron, 9 dieron positivas por serología. “No hay una prueba diagnóstica buena para humanos. Por eso es que se han venido desarrollando estas investigaciones, para poder establecer un mejor diagnóstico”, explicó la profesora Martha Olivera, investigadora del Grupo Biogénesis y Vericel, grupos que hacen parte de la Facultad de Ciencias Agrarias de la Alma Mater.

La reglamentación de Estados Unidos determina que todos los animales que dan positivos con esta bacteria, deben ser sacrificados. En Colombia, en cambio, solo se manda a sacrificar a los animales de abasto, es decir a los bovinos, donde la bacteria corresponde a otra especie del género Brucella, la Brucella abortus.

Pero la infección de los perros los reglamenta el Ministerio de Salud y aún no los ha reglamentado. Por eso lo que estamos haciendo es tratar de mejorar el diagnóstico y, con esas mejoras, lograr una vacuna a mediano plazo”, dijo Olivera.


Miryan Sánchez Jiménez y Martha Olivera hacen parte del Grupo de investigación Biogénesis y Vericel. Juan Fernando Alzate es el director del Centro de Secuenciación Genómica de la Universidad de Antioquia. Su trabajo y el de otros profesionales, como Juan Pablo Isaza, dio como resultado la secuenciación de la bacteria.

Genómica se une a la búsqueda Hay pocas investigaciones sobre la composición genómica de Brucella canis. Tras varios años dedicados a este tema, la profesora Martha y sus pupilos decidieron estudiar al maximo detalle esta bacteria. A ese propósito se les unió el Centro Nacional de Secuenciación Genómica, también de la Universidad de Antioquia, laboratorio de referencia en Colombia para estos analisis.

Los investigadores, inicialmente durante dos meses, analizaron reiteradamente los hemocultivos. Cuando consiguieron una cepa pura de la bacteria, empezó el trabajo de secuenciación. “Para este proyecto leímos 280 mil fragmentos de ADN de esa cepa, luego los analizamos computacionalmente para reconstruir toda la información genética contenida en los 2 cromosomas de este microorganismo”, explicó Juan Fernardo Alzate, director del CNSG.

Ese proceso arroja unos resultados computacionales que hay que decodificar, para hacer un inventario de los genes que componen la bacteria y las funciones que tiene cada uno, así determinan sus propiedades biológicas. Esa información se publica en una base de datos mundial, que es rigurosamente revisada.

A este trabajo le damos mucho valor porque es la única cepa de campo americana secuenciada, además de que hicimos todo el análisis de la bacteria sin salir de nuestro país. Reportamos cada uno de los genes, algo que se ha hecho con pocas cepas en el mundo. De Brucella canis sólo se ha hecho con tres”, precisó Alzate.

Según el National Institutes of Health, de Estados Unidos, hay 27 proyectos de investigación sobre el genoma de Brucella canis, de esos solo hay tres culminados: uno coreano, otro norteamericano y el realizado en la Universidad de Antioquia, que además fue aceptado y se puede consultar publicamente en la base de datos europea del EBI. Los investigadores de la Alma Mater nombraron esta bacteria Brucella canis str. Oliveri, en honor a la profesora Martha, pionera de esta investigación en Colombia.

Este logro investigativo permite pensar en el desarrollo de vacunas futuras, así como procedimientos mucho más precisos y rápidos para detectar la infección por la bacteria en animales y humanos. “Todo el trabajo que estamos realizando, lo estamos basando en esa secuencia genómica”, dijo Sánchez.


ORIGINAL: Universidad de Antioquia
por Pedro Correa Ochoa - UdeA Noticias
24 de Feberero de 2014

viernes, 7 de marzo de 2014

The dawning of the age of genomic medicine, finally

Craig Venter (R) speaks with Eric Topol, Scripps Health chief academic officer and director of the Scripps Translational Science Institute, during a symposium on ''The Future of Genomic Medicine'' at Scripps Seaside Forum in La Jolla, California March 6, 2014. Credit: Reuters/Sam Hodgson



Director of the Cardiovascular Research Institute Dr. Elizabeth McNally (L) looks on as Megan Puckelwartz prepares DNA from human patients at the University of Chicago in Chicago, March 4, 2014. Picture taken March 4, 2014.



(Reuters) - When President Bill Clinton announced in 2000 that Craig Venter and Dr. Francis Collins of the National Human Genome Research Institute had succeeded in mapping the human genome, he solemnly declared that the discovery would "revolutionize" the treatment of virtually all human disease.

The expectation was that this single reference map of the 3 billion base pairs of DNA -- the human genetic code -- would quickly unlock the secrets of Alzheimer's, diabetes, cancer and other scourges of human health.

As it turns out, Clinton's forecast was not unlike President George Bush's "mission accomplished" speech in the early days of the Iraq war, said Dr. Eric Topol of Scripps Translational Science Institute, which is running a meeting On the Future of Genomic Medicine here March 6-7.

Thirteen years after Clinton's forecast, even Venter acknowledges that mapping the human genome has had little clinical impact. "Yes, there's been progress, but we all would have hoped it would have been more rapid," he said in an interview in his offices this week.

But that is finally changing.

"We are at an inflection point," said Collins, who now directs the National Institutes of Health. In a telephone interview, he said he never expected an "overnight, dramatic impact" from sequencing the human genome, in part because of cost.

Recently, a combination of lower-cost sequencing technology and a growing list of wins in narrow corners of medicine are starting to show that genomic medicine is on the verge of delivering on at least some of those early claims.

Recent advances in sequencing have been "pretty stunning" and genomics is "just on the threshold" of delivering results, Venter told Reuters.

Although much is left to be learned about the genome, scientists believe knowing a person's genetic code will lead to highly personalized treatments for cancer, better predictions for diseases in babies and help unlock the puzzle of mysterious genetic diseases that currently go undiagnosed and untreated.

Venter is staking his latest entrepreneurial venture on that expectation. Earlier this week, he announced formation of a new company, Human Longevity Inc., to undertake a massive project: sequencing 40,000 human genomes a year in a search for new therapies to preserve health and fight off diseases, including cancer, heart disease and Alzheimer's.

To do that, Human Longevity will use two HiSeq X Ten machines and has an option to buy three more. The sequencers, made by Illumina Inc., can map a single genome for as little as $1,000.

Collins' government-funded Human Genome Project spent $3 billion and took 13 years to sequence the human genome.

Breaching the $1,000 genome could prove to be a watershed. At that cost, said Illumina Chief Executive Jay Flatley, ambitious projects like Venter's are economically feasible and clinical results more achievable.

"We've still only scratched the surface of what the genome holds," he said. "What we need to do now is get hundreds of thousands to millions of genomes in databases with clinical information," he added.

MAKING A DIFFERENCE
Advances in sequencing equipment and the advent of next-generation sequencing has transformed the work Dr. Elizabeth McNally does as director of the Cardiovascular Genetics Clinic at the University of Chicago.

In seven short years, she said, her group has gone from testing just one gene at a time to testing 60 to 70 genes and she is moving quickly into whole genome sequencing.

McNally points to the case of Jeanne Sambrookes - a patient who is alive today because of these advances.

As a child, Sambrookes often noticed the distinct, hunched posture of her mother, her aunt and her grandmother as they struggled to climb a flight of stairs.

Sambrookes had been very athletic as a young teen, but as she matured, she noticed a heaviness in her legs. By age 20, running left her tired. At 40, she needed a pacemaker, just like her mother did at that age.

"I started thinking there is something to this," said Sambrookes, now 56, who lives in Michigan City, Indiana.

After some dead ends, she found McNally, who cast a wide net, testing for more than two dozen genes that could account for Sambrookes' heart and muscle problems.

The culprit turned out to be a mutation in a gene called Lamin that causes Limb-girdle muscular dystrophy. The disease can cause weakness and wasting of the muscles between the shoulders and knees. The mutation can also cause electrical disturbances of the heart.

McNally recommended Sambrookes replace her pacemaker with an implantable cardiac defibrillator that could protect against sudden cardiac death.

That proved to be the right call. Last August, Sambrookes' heart stopped three times. Each time, the defibrillator shocked her back to life.

"She literally tried to die three times," McNally recalls of her patient. "It still takes my breath away."

Although McNally uses panels of 70 to 80 genes in her clinic, she has started experimenting with whole genomes. With the reduced cost of gene mapping, whole gene sequencing is a potentially cheaper, more powerful tool.

The reduced cost of mapping is cutting the cost of research, too -- another factor that could speed clinical outcomes. McNally's team recently published a paper in the journal Bioinformatics in which she used Beagle, a supercomputer housed at Argonne National Laboratory, to analyze 240 full genomes in about two days. Such an endeavor normally takes months.

"That dramatically decreases the cost associated with analysis because we sped up the time," said McNally.

CORNERS OF MEDICINE
Dr. Jay Shendure, associate professor of Genome Sciences at the University of Washington in Seattle, said the impact of gene sequencing is beginning to emerge in specific areas -- after a startup period that was longer and narrower than expected.

"I do think there are these corners of medicine, which are important ones, that may happen relatively quickly," he said.

A key example is the use of a pregnant woman's blood to see if her fetus may have trisomies -- chromosomal abnormalities associated with Down syndrome and other disorders.

"Almost overnight, sequencing is in the process of taking over as the primary means of screening for trisomies in at-risk populations, and maybe eventually to everyone," Shendure said.

The clinical results are promising. A trial of Illumina's test published last week in the New England Journal of Medicine found about 3.6 percent of standard tests for trisomies had false positive results, compared with 0.3 percent with Illumina's Verify test.

That means fewer women would need to go through invasive follow-up diagnostic tests using amniocentesis or chorionic villus sampling, both of which can cause miscarriages.

If the tests become routine practice, Goldman Sachs analyst Issac Ro estimates the market could reach $6 billion a year.

Venter's new company, Human Longevity, has picked cancer as its first sequencing target. Working with the University of -California, San Diego, the company plans to sequence the genomes, as well as the tumors, of every cancer patient treated at UCSD's Moores Cancer Center.

Collins calls cancer a "disease of the genome" and notes that genomics has revealed cancer to be a collection of different mutations, all of which contribute to its growth.

Drug companies have responded with treatments that block aberrant pathways, an approach called precision medicine.

"That's happened pretty quickly because of this window that DNA sequencing has provided," said Collins.

(Reporting by Julie Steenhuysen; Editing by David Greising and Dan Grebler)

ORIGINAL:
Reuters
Mar 6, 201

domingo, 16 de febrero de 2014

Oxford Nanopore unveils data from portable genome sequencer

MinION results are promising, but fall short of high expectations.


Oxford Nanopore

Oxford Nanopore's MinION sequencer can read DNA fragments up to 10 kilobases long.

A good first shot, but not a game-changer — yet. That seems to be the consensus among scientists after the first public release today of data produced by the MinION, an advanced and much-anticipated DNA sequencing device developed by Oxford Nanopore in the UK.

The MinION aims to be the first commercially available sequencer that uses nanopore technology, which has been in development for nearly two decades. The approach identifies bases of DNA by measuring the changes in electrical conductivity they generated as they pass through a biological pore. Oxford claims that its nanopore machines will be faster and cheaper than existing sequencing technologies, and will allow scientists to analyse regions of the genome that cannot be amplied.

The MinION is not yet for sale. But David Jaffe, a computational biologist at the Broad Institute in Cambridge, Massachusetts, used data produced by the device and provided by Oxford to aid in the assembly of two bacterial genomes — those of Escherichia coli and a bacterium from the genus Scardovia that is found in the human mouth. He presented his results today at the Advances in Genome Biology and Technology meeting in Marco Island, Florida.

It’s kind of a cute device,” Jaffe says of the MinION, which is roughly the size and shape of a pack of gum. “It has pretty lights and a fan that hums pleasantly, and plugs into a USB drive.” But his technical review is mixed.

The average length of the sequences generated on the MinION was 5.4 kilobases, with some as long as 10 kilobases. That is longer than the average read delivered by the current dominant technology, sold by San Diego, California-based Illumina, which delivers fragments of DNA that are hundreds of base pairs long. But the median length of the MinION’s reads is shorter than the target that Oxford announced in 2012.

Mixed picture
Jaffe also found that the MinION appeared to have difficulty sequencing particular parts of the bacterial genomes that he studied. That is worrisome to bioinformaticians, because it is more challenging to correct for systematic sequencing errors than random ones. In Jaffe's case, the recurring errors prevented him from assembling the complete genome sequences of the two bacteria from scratch using only MinION data; instead, he used MinION sequences to supplement data generated by Illumina machines.

Yet he sounded an optimistic note about the MinION's future. Oxford has said that higher-quality DNA or different preparation methods should increase the average read length. Jaffe says that the company can work to eliminate errors, perhaps by using a mix of pores with different properties. But even now, he says, the vast majority of long MinION reads had lengthy stretches without any mistakes. The systematic errors are “a temporary feature that we hope they'll figure out how to solve.

Other researchers will soon have a chance to form their own opinions about the new device, as Oxford today launched its early-access programme. Researchers who pay a US$1000 deposit, plus $250 for shipping costs, can receive MinIONs on which they can run their own experiments.

Isaac Ro, an analyst at the investment bank Goldman Sachs — which advised Illumina in 2012 when it fought off a takeover bid by the drug giant Roche — called Jaffe's presentation “underwhelming”. “Oxford Nanopore still appears to be in development mode and, in our view, is unlikely to threaten [Illumina’s] competitive position at this time,” he said in a research note.

But some scientists still think that the MinION has potential to shake up the sequencing industry. Geneticist Yaniv Erlich of the Whitehead Institute for Biomedical Research in Cambridge, Massachusetts, says that the small, cheap and portable MinION is unlike the bulky, pricey sequencing machines that scientists are used to. If Oxford continues to improve the technology, he says, it will enable a range of applications that are not possible today, such as using sequencers in the field.

This reminds me of the early days of Illumina, when all we could get were 36-base-pair reads, and we were all very excited about that,” Erlich says. “I think we should give [Oxford] more time.
Nature doi:10.1038/nature.2014.14724

Related stories
Is the $1,000 genome for real?
Nanopore genome sequencer makes its debut
Personal genomes: Standard and pores

More related stories


ORIGINAL: Nature 
By Erika Check Hayden
14 February 2014 

miércoles, 12 de febrero de 2014

IBM Tackles Personalized Medicine's Big Data Challenge, One Genome At A Time


One human's genome represents a large chunk of data. Put a lot of genomes together and it starts to become unmanageable. So IBM is working on solutions to easily manage how we store and access our medical information.

Personalized medicine has the potential to radically change the health-care business; just imagine if every cancer patient could get a treatment customized to work best with their genes. But there's a problem: storing genetic information is a data nightmare--genotyping a single individual can produce up to 1.5 GB of data. That adds up quickly, which is why IBM is stepping in to keep our genetic information organized.

IBM teamed up with the Coriell Institute for Medical Research, the largest biobank of living human cells, to help maintain its collection of biomaterials, which include cell lines and DNA samples representing over half of the 4,000 known genetic diseases--everything from diabetes to cancer.


The health-care industry is placing greater emphasis on the use of genetic information in making medical decisions,” said Scott Megill, Coriell’s chief information officer, in a statement. "As a leader in genomics, Coriell is exploring the clinical utility of this personalized approach to medicine. The breadth of data output created by our research introduced new challenges to analyze and store this information."

That's where IBM comes in. The company has implemented a tracking system that allows Coriell to track each sample (these vary by type, disease state, and age, among other things) as it moves through various lab processes. IBM also has deployed real-time freezer monitors so that Coriell can prevent mechanical failures in its cryogenic freezers, which contain up to 48,000 samples at a time.

But while IBM may have solved some of the data storage issues associated with personalized medicine, there are still plenty of other issues to deal with. Among them: are doctors prepared to handle so much data for each one of their patients? Paging Big Blue.

[Image: Coriell]

ORIGINAL: FastCo Exist

viernes, 31 de enero de 2014

The genetic contribution Neanderthal man made to modern humanity is clearer

Kissing cousins

HOW Neanderthal are you? That question sounds vaguely insulting. But unless you are African, or of recent African ancestry, the answer is likely to be 1-3%.

Though Homo sapiens is the only type of human around at the moment, that was not true until recently. Sixty thousand years ago, when modern humans first left Africa, they encountered other species of humanity, such as Neanderthals (imagined above, in an artist’s interpretation), in Europe and Asia. In some cases, they interbred with them. The genetic traces of those encounters remain in modern human genomes. And two studies, one just published in Nature, and one in Science, have now looked in detail at this miscegenation, and tried to understand its consequences.


The Nature study, conducted by Sriram Sankararaman of Harvard Medical School and his colleagues, looked at the genomes of 1,004 living people of European and Asian descent and compared them with Neanderthal DNA from a 50,000-year-old toe bone found in a Siberian cave, and also with the genomes of 176 west Africans. This latter group, Dr Sankararaman assumed, could have little Neanderthal DNA in them because Neanderthals, as far as can be determined from the fossil record, lived only in Europe and western Asia.

Dr Sankararaman and his colleagues certainly did find plenty of DNA which seems to have come from Neanderthals in their Eurasians. Tellingly, it was not sprinkled evenly throughout the modern human genome. That let them make educated guesses about the effects it is having on those who carry it. For instance, genes affecting the production of keratin—an important component of hair and skin—showed more Neanderthal influence than most. Neanderthals, whose homeland was much colder then than it is now because of the ice age, were hairier (and thus better insulated) than Homo sapiens. Retaining Neanderthal traits of this sort, in an African species that was trying to make good in sub-Arctic conditions, would thus be encouraged by natural selection.

More surprisingly, Dr Sankararaman also found Neanderthal DNA in genes associated with diabetes, Crohn’s disease, lupus and even the propensity to smoke. This does not necessarily mean such DNA was bad for those who inherited it. A gene which increases the risk of diabetes in modern circumstances of abundant food might, for example, have had benefits in a more austere environment.

Indeed, truly deleterious DNA would be expected to be noticeable by its absence, because natural selection would have worked to eliminate it in the 30,000 years since Neanderthals died out. And Dr Sankararaman found evidence for exactly that, as well.

There is, for example, little Neanderthal DNA on the X chromosome (which, along with the Y chromosome, determines an individual’s sex). Nor is there much in genes that are expressed in the testicles. Studies from other hybrid animals, which are frequently sterile, suggest genes which reduce male fertility are often found on the X chromosome. Since few things are a bigger evolutionary no-no than being unable to produce children, tremendous selective pressure would have existed to remove the offending DNA from the hybrid descendants of Neanderthals and Homo sapiens.

The study published in Science, by Benjamin Vernot and Joshua Akey of the University of Washington, in Seattle, reaches similar conclusions to Dr Sankararaman’s. Dr Vernot and Dr Akey hunted down Neanderthal DNA in the genomes of 665 Europeans and East Asians. They, too, found evidence of its having inserted itself into genes associated with the skin, and that not all of the newly arrived genetic material is helpful to its current bearers.

They made other discoveries, too. With the help of computer models, they concluded that there were probably several pulses of interbreeding over the millennia, rather than a steady stream of it. Both they and Dr Sankararaman also found that, on average, East Asians have more Neanderthal DNA than Europeans do—which is odd, because Neanderthals are not known to have lived in East Asia.

The ghost in the machine
Dr Vernot and Dr Akey also used their data to try to improve understanding of the Neanderthal genome itself, by combining the bits and bobs scattered among modern humans. Though both their study and Dr Sankararaman’s depended on being able to identify what was Neanderthal by comparing modern human genomes with fossil DNA, the fossil material available is imperfect. Looking at the exact sequence of DNA “letters” (the chemical bases which carry the genetic message) in areas identified as Neanderthal in modern genomes can therefore improve understanding of the Neanderthal original.

Crucially, though the amount of Neanderthal DNA in any individual is small, the exact bits vary a lot from person to person. Look at enough people, then, and it becomes possible to rebuild quite large swathes of the Neanderthal genome. Dr Vernot and Dr Akey reckon that from their sample of 665 they have recovered around 20% of it.

This is an impressive figure for an extinct species. It shows just how much the concept of a “species” is a construct of human thinking rather than a truly natural category. Technically, Neanderthals may be gone. But their DNA ghosts linger on.

From the print edition: Science and technology


ORIGINAL: The Economist
Feb 1st 2014

jueves, 15 de agosto de 2013

Stanford scientists sequence genome of human's closest invertebrate relative

ORIGINAL: Stanford
By Bjorn Carey 
August 14, 2013

Botryllus schlosseri, a small sea creature, can regenerate its entire body from its blood vessels alone. Stanford researchers hope that sequencing its genome will lead to advances in regenerative and transplant medicine for humans.

Botryllus schlosseri is humans' closest living invertebrate relative. Chris Patton
At first glance, Botryllus schlosseri has very little in common with humans. The small sea creature fuses together with others to form colonies that look like psychedelic blobs, encrusting rocks and seaweeds. It can reproduce asexually, and an entire individual can be regenerated from its blood vessels alone.

And yet, Botryllus is humans' closest living invertebrate relative. (Invertebrates lack a spinal column.) Now, a group led by Stanford scientists has sequenced its genome, making it possible to find the genetic basis for some of the animal's amazing regenerative abilities and immunity features, which potentially could be applied to human medicine.

In total, the group sequenced the animal's 580 million base pairs of DNA. (The human genome, by comparison, consists of more than 3 billion base pairs.) Though the researchers haven't studied the entire genome, they found evidence that Botryllus makes a useful invertebrate model for studying human genetics, in particular for highlighting the evolution of immunity and stem cell-mediated regeneration.

The researchers compared the Botryllus genome with several vertebrate and invertebrate genomes. Focusing on genes involved in various human diseases – affecting things such as heart and eye development, pregnancy and cancer – they found homologous genes for each in Botryllus, far more matches than in any of a dozen other invertebrates commonly used in research.

An additional investigation of blood-related genes revealed that Botryllus was probably the first invertebrate to have vasculature in the same context of the human circulatory system, with blood cells traveling through blood vessels.

For example, in looking at a set of 20 genes that encode for humans' hematopoietic stem cells – cells that can self-renew and differentiate into other types of blood cells – they found 14 that are also expressed in cells isolated from the Botryllus stem cell niche. The scientists are now investigating how these genes function in Botryllus.

"The whole body can regenerate from the vasculature alone: the heart, digestive system, sophisticated tissues," said Ayelet Voskoboynik, a scientist at Stanford's Stem Cell Institute and Hopkins Marine Station, and the lead author on the study. "And it can do this relatively fast, probably using stem cells. Now that we have the genome, we can try to understand the mechanism behind it."

The study of Botryllus' genome could also lead to advances in transplant medicine. When two genetically distinct Botryllus colonies come into contact with each other, they either fuse their blood vessels to create a single organism, or reject one another and maintain individuality. When the blood vessels between the two colonies fuse into one interconnected network, the stem cells from each partner colony begin to circulate throughout the other.

The stem cells compete and in many cases one partner's stem cells "win" – and any new or replacement tissue grown through the fused colony does so based on the "winner's" genetic code.

A similar process occurs in humans who undergo an allogeneic transplant – when a patient receives tissue or cells from a non-identical donor. For instance, if a patient receives bone marrow or a ligament graft from a donor, over time, the recipient's cells replace the donor tissue.

In some instances, particularly concerning transplants of bone marrow or hematopoietic stem cells, the recipient's body rejects the donor cells. Voskoboynik suspects that studying the genetic basis for this interaction in Botryllus could lead to improvements in human therapies.

"If we can learn what makes a highly competitive stem cell a winner, and why others are rejected, we could hope to apply that knowledge to improve the success rate of allogeneic transplantations in humans," Voskoboynik said.

An important byproduct of the research, Voskoboynik said, was that Botryllus' complicated genome required the team to develop a new sequencing technique. The method, which has been patented, yielded exceptionally long, accurate sequences of DNA.

Additionally, rather than creating an average of the genetic information encoded on each paired chromosome, as standard techniques do, the new method yielded individual results from each chromosome. That advance, Voskoboynik said, could play a critical role in studying human diseases that occur as the result of different versions of genes existing on paired chromosomes.

The study was recently published in the peer-reviewed journal eLIFE.
Media Contact
Ayelet Voskoboynik: (831) 655-6244, ayeletv@stanford.edu

Bjorn Carey, Stanford News Service: (650) 725-1944, bccarey@stanford.edu

sábado, 27 de julio de 2013

Genome sequencing meets chocolate

ORIGINAL: IBM Research


How analyzing cacao plant genes could save chocolate

Plants have DNA, too. So just as genome sequencing has been conducted on fruit flies and humans, scientists have also discovered the genomes of rice, mustard, and a few trees - including as of 2010, the cacao.

IBM, the United States Department of Agriculture’s Agricultural Research Service (USDA-ARS), and candy-maker Mars Inc. teamed up in 2008 to sequence the cocoa genome in an effort to help farmers grow tastier, more disease-resistant and more productive cocoa trees. The initial phase of work yielded a surprising result: identifying the genes that dictate the color of the plant may be the best indicator for better-tasting, healthier plants.

Why sustain cocoa?

  • 70 percent of today’s global cocoa is produced in equatorial Africa
  • 2,000,000 small-scale cocoa farms in West Africa depend on this crop
  • 1/3 of all cocoa produced in Africa is lost to drought, pests and fungal disease
  • $800 million (U.S.) lost due to failed cocoa crops

IBM and Mars use Deep Analytics to Map the Cocoa Genome


IBM and Mars use Deep Analytics to Map the Cocoa Genome(2:52)

Genome sequencing: how computers deciphers genetic code

In order to sequence the cacao’s genetic material, scientists had to first crush the leaves, pods and other parts of the plant at the USDA’s Agricultural Research Service lab. A DNA sequencer then extracted the nucleotides that make up the plants unique set of genes. And while the team at IBM, Mars and the USDA finished the sequence three years ahead of schedule, the real work is in deciphering the more than 30,000 estimated cacao genes.

The 30,000 is arrived at by using algorithms to identify patterns of genes embedded in the genome. The algorithms “spot” the genes by comparing similarities with known genes from other species.

While this fully automated process can estimate the total number of genes, specific genes are handled by in silico-in vitro screenings – a combination of experimental biology and computer analysis. The analysis is a delicate problem that, in IBM's efforts to identify cacao pod color, demanded algorithmic precision at a different scale (a sort of “genome whisperer”) that analyzed hundreds of pods collected from different geographies.

Typically, the hardest task is in finding gene(s) responsible for a phenotype in the "mass" of genes in the genomes. The breakthrough here is being able to pinpoint the genes responsible for pod color.
Dr. Laxmi Parida, computational genomics manager at IBM Research

Traits of flavor and sustainability through pod color

Classification of cacao cultivars using
the IRiS algorithm, developed by
the IBM scientists


The color coding identified within these cacao candidates, as suggested by these specialized algorithms, were put through an additional vetting process of targeted sequencing, as well as RNA analysis of the relevant tissues in these target plants. The combination of these processes identified which genes expressed pod color, and where they reside within the genome.

The red pod color trait is positively correlated with an undesirable flavor characteristic in the cacao. On the other hand, the green pods taste better but have a lower yield. The ability to screen young cacao seedlings with red or green molecular markers – and then select only those carrying the alleles genes that result in green pods – would greatly reduce the population sizes required for the laborious and expensive evaluations of unlinked flavor and yield traits.

In other words, using marker assisted selection, versus naturally breeding the plants (which takes years), will greatly speed up the effort of identifying and selecting the most flavorful and sustainable cacao plants.

Analyzing any genome

IBM's work to identify the cacao’s pod color is genetic selection, not modification.

IBM conceived, designed and developed these specialized algorithms to identify candidate genes, to provide guidance for specific experiments that support Mars’ work to improve cocoa taste and sustainability. Mars hopes to use these results to rapidly accelerate breeding programs to improve the quality of chocolate produced from cacao beans. All of IBM’s algorithms are available for any research community to apply to their own plant or animal studies.
Explore other food technologies from IBM

Cacao vs. Cocoa

Cacao” refers to the tree Theobroma cacao and its seeds (and the beans inside of the seeds). The word “cocoa” refers to the processed product of the tree, seed and bean.

This article refers to the gene sequencing of the “cacao” plant.
Meet the researcher

Laxmi Parida
Manager, Computational Genomics Group,
Thomas J. Watson Research Center


Learn more about genome sequencing
Download the algorithms used in the project
Computational genomics at IBM Research
Using genome sequencing to map humanity's family tree
Learn more about IBM Analytics

miércoles, 17 de julio de 2013

Prostate cancer’s complexities unveiled through whole genome sequencing

ORIGINAL: Broad Institute
By Haley Bridger, Broad Communications, 
February 9th, 2011
Genomic rearrangements occur when pieces of chromosomes break off and reattach in the wrong places. This can generate chimeric chromosomes, depicted here as different colored balls of DNA yarn. Researchers found a surprisingly large number of complex rearrangements in prostate cancer. Image by Sigrid Knemeyer

Fifty years ago, Philadelphia researchers peered through a microscope at cells from a patient with leukemia and made a startling discovery: they saw an abnormally shortened chromosome, the result of two chromosomal pieces breaking off and swapping places in these cancer cells. The sighting of this shuffling – known as a genomic rearrangement or translocation – would lead to a landmark cancer drug tailored to patients whose tumors harbored this genomic alteration.

This week, a research team led by scientists at the Broad Institute, Dana-Farber Cancer Institute and Cornell Weill College of Medicine report in Nature that they have uncovered an even more complex series of such translocations in prostate cancer, a discovery revealed not through the lens of a microscope but through a technique known as whole genome sequencing. These rearrangements in turn have cast a spotlight on genes that may be playing an important role in prostate cancer.

Many of these features were invisible before,” said co-senior author Levi Garraway, a senior associate member of the Broad Institute and a medical oncologist and assistant professor at the Dana–Farber and Harvard Medical School. “Now, we’re realizing that by sequencing whole genomes in prostate cancer, there’s a lot more to see. These discoveries are teaching us a great deal about prostate cancer biology that we simply hadn’t appreciated previously.

Prostate cancer is the second most lethal cancer in American men, responsible for more than 30,000 deaths and more than 200,000 new cases each year. A major goal of prostate cancer research is to identify potential drug targets as well as genetic characteristics within tumors that could distinguish indolent and aggressive forms of the disease, and ultimately improve diagnostics and treatment.

Whole genome sequencing enables researchers to look across the entire genome of a tumor to see global changes and patterns. Analyzing and sequencing a full cancer genome is a major technical feat – to date, most whole genome sequencing projects in cancer have examined a single tumor sample. In the prostate cancer study, however, researchers laid bare the full genetic blueprints of seven tumor samples, comparing each to a normal genome from the same person.

This was the first study in prostate cancer in which whole genome sequencing has been performed on multiple genomes,” said co-first author Michael Berger, who worked on the project as a Cancer Program research scientist. “In dong so, we’ve identified novel aspects of prostate cancer biology.

Other sequencing methods that target specific sections of the genome allow researchers to see smaller changes, such as point mutations in which one chemical letter of DNA is changed. Imagining the genome as text, these kinds of mutations are like spelling errors. Whole genome sequencing allows scientists to detect these misspellings as well as the rearrangement of whole paragraphs or pages of genomic text.

One of the big surprises is the fact that prostate cancer doesn’t have a large number of misspellings, but instead has a large, significant number of rearrangements,” said co-senior author Mark Rubin, a genitourinary pathologist and professor in pathology and laboratory medicine at Weill Cornell Medical College. “We would never have guessed that there were so many genomic alterations of this type before now because we didn’t have the right tools to look for them.

Using this sequencing approach, the researchers were able to see instances where chromosomes have been taken apart and put back together again in the wrong way. “It looks as though a bunch of breaks have been introduced on different chromosomes, and when the DNA repair machinery tried to repair these DNA strands, pieces got swapped, and attached to the wrong partners,” said Michael Lawrence, a co-first author and Broad computational biologist. “In the case of some of these rearrangements, we see a closed cycle of translocation in which no material has been lost – just sort of scrambled.

This scrambling can lead to the creation of “fusion proteins,” the result of two genes becoming joined together. In the case of the Philadelphia chromosome, the fusion of two genes permanently turns on a protein that signals cells to grow, leading to chronic myelogenous leukemia (CML). Twenty years after this gene fusion was discovered, scientists developed a drug known as imatinib (sometimes called Gleevec), which binds to and thereby deactivates this abnormal protein. The story of this discovery has inspired modern cancer research.

Rubin, who is also a pathologist at NewYork-Presbyterian Hospital/Weill Cornell Medical Center, and his colleagues helped discover another gene fusion – TMPRSS2-ERG – in prostate cancer a few years ago. Just as in the case of the Philadelphia chromosome, TMPRSS2-ERG forms when two chromosomes swap pieces. In the latest study, researchers have found genomic swapping of even greater complexity. Instead of two pieces of genetic material getting swapped, many pieces are involved in a series of interchanges.

These breaks and repairs fall at the sites of some genes known to play a role in cancer. Several tumors contained rearrangements disrupting genes that had not been associated with prostate cancer before, such as the gene that codes for the protein CADM2, part of a family of proteins that prevent tumors from forming (known as “tumor suppressors”). Three samples also contained mutations involving members of the heat shock protein family, molecules that play an important, protective role and keep proteins from losing their proper shape. Anti-cancer drugs that inhibit these proteins are currently in clinical trials, but it is not yet clear whether prostate cancers will be vulnerable to such drugs.

Other recurring genomic rearrangements involve the genes PTEN and MAGI2. PTEN is a well-known tumor suppressor gene and MAGI2 appears to be its helpmate; mutations to one or both genes may set cells on the path toward becoming cancerous. Drugs that inhibit the pathway these genes influence are also being developed, raising the possibility that the drugs could be applied to prostate cancer.

The discovery of these alterations was made possible through the development of new computational tools, the careful collection and selection of tumor samples, and collaborations across institutions and across groups at the Broad. Garraway’s group continues to work closely with Rubin’s to follow up on genes of interest and sequence additional samples. The researchers also received help from many of the Broad’s platforms.

This whole project was a collaboration that cut across the entire Broad,” said Berger. “The Biological Samples Platform, Genetic Analysis Platform, Genome Sequencing Platform and their informatics group, Cancer Program leadership, and the scientists and project management in the Cancer Program all shared the same vision on this project.

Other Broad researchers who contributed to this project include Kristian Cibulskis, Andrey Sivachenko, Carrie Sougnez, Robert Onofrio, Scott Carter, Lauren Ambrogio, Timothy Fennell, Melissa Parkin, Gordon Saksena, Douglas Voet, Alex Ramos, Trevor Pugh, Jane Wilkinson, Sheila Fisher, Wendy Winckler, Scott Mahan, Kristin Ardlie, Jennifer Baldwin, Lynda Chin, Stacey Gabriel, Todd Golub, Matthew Meyerson, Eric Lander, and Gad Getz. Researchers from the Weizmann Institute of Science, Yale University, and the Prostate Cancer Foundation also contributed to this work.

Funding for the project was provided by the Prostate Cancer Foundation, the Howard Hughes Medical Institute, the National Human Genome Research Institute, the Kohlberg Foundation, the National Cancer Institute, the National Institutes of Health, the Department of Defense, the Dana-Farber/Harvard Cancer Center Prostate Cancer SPORE grant, and the Starr Cancer Consortium.


Paper(s) cited:

Berger M. et al. The genomic complexity of primary human prostate cancer. Nature. Published online February 9, 2011. DOI:10.1038/nature09744

jueves, 25 de abril de 2013

Bioengineers Build Open Source Language for Programming Cells

ORIGINAL: Wired
04.19.13

Image: Steve Jurvetson/Flickr.
Drew Endy wants to build a programming language for the body. 

Endy is the co-director of the International Open Facility Advancing BiotechnologyBIOFAB, for short — where he’s part of a team that’s developing a language that will use genetic data to actually program biological cells. That may seem like the stuff of science fiction, but the project is already underway, and the team intends to open source the language, so that other scientists can use it and modify it and perfect it. 

Photo: BIOFAB
The effort is part of a sweeping movement to grab hold of our genetic data and directly improve the way our bodies behave — a process known as bioengineering. With the Supreme Court exploring whether genes can be patented, the bioengineering world is at crossroads, but scientists like Endy continue to push this technology forward. 

Genes contain information that defines the way our cells function, and some parts of the genome express themselves in much the same way across different types of cells and organisms. This would allow Endy and his team to build a language scientists could use to carefully engineer gene expression – what they callthe layer between the genome and all the dynamic processes of life.” 

According to Ziv Bar-Joseph, a computational biologist at Carnegie Mellon University, gene expression isn’t that different from the way computing systems talk to each other. You see the same behavior in system after system. “That’s also very common in computing,” he says. Indeed, since the ’60s, computers have been built to operate much like cells and other biologically systems. They’re self-contained operations with standard ways of trading information with each other. 
In synthetic biology, the equivalent of a Java virtual machine might be that you could create your own compartment in any type of cell, so your engineered DNA wouldn’t run willy-nilly.
— Drew Endy 

The BIOFAB project is still in the early stages. Endy and the team are creating the most basic of building blocks — the “grammar” for the language. Their latest achievement, recently reported in the journal Science, has been to create a way of controlling and amplifying the signals sent from the genome to the cell. Endy compares this process to an old fashioned telegraph

If you want to send a telegraph from San Francisco to Los Angeles, the signals would get degraded along the wire,” he says. “At some point, you have to have a relay system that would detect the signals before they completely went to noise and then amplify them back up to keep sending them along their way.” 

And, yes, the idea is to build a system that works across different types of cells. In the 90s, the computing world sought to create a common programming platform for building applications across disparate systems — a platform called the Java virtual machine. Endy hopes to duplicate the Java VM in the biological world. 

Java software can run on many different hardware operating system platforms. The portability comes from the Java virtual machine, which creates a common operating environment across a diversity of platforms such that the Java code is running in a consistent local environment,” he says. 

In synthetic biology, the equivalent of a Java virtual machine might be that you could create your own compartment in any type of cell, [so] your engineered DNA wouldn’t run willy-nilly. It would run in a compartment that provided a common sandbox for operating your DNA code.” 

According to Endy, this notion began with a group of students from Abraham Lincoln High School in San Francisco a half decade ago, and he’s now calling for a commercial company to recreate Sun Microsystems’ Java vision in the biological world. It’s worth noting, however, that this vision never really came to fruition — and that Sun Microsystems is no more. 

Nonetheless, this is what Endy is shooting for — right down to Sun’s embrace of open source software. The BIOFAB language will be freely available to anyone, and it will be a collaborative project. 

Progress is slow — but things are picking up. At this point, the team can get cells to express up to ten genes at a time with “very high reliability. A year ago, it took them more than 700 attempts to coax the cells to make just one. With the right programming language, he says, this should expand to about a hundred or more by the end of the decade. The goal is to make that language insensitive to the output genes so that cells will express whatever genes a user wants, much like the print function on a program works regardless of what set of characters you feed it. 

What does he say to those who fear the creation of Frankencells — biological nightmares that will wreak havoc on our world? “It could go wrong. It could hurt people. It could be done irresponsibly. Assholes could misuse it. Any number of things are possible. But note that we’re not operating in a vacuum,” he says. “There’s history of good applications being developed and regulations being practical and being updated as the technology advances. We need to be vigilant as things continue to change. It’s the boring reality of progress.” 

He believes this work is not only essential, but closer to reality than the world realizes. “Our entire civilization depends on biology. We need to figure out how to partner better with nature to make the things we need without destroying the environment,” Endy says. “It’s a little bit of a surprise to me that folks haven’t come off the sidelines from other communities and helped more directly and started building out this common language for programming life. It kind of matters.

lunes, 25 de marzo de 2013

Most popular human cell in science gets sequenced

ORIGINAL: Nature
15 March 2013

The HeLa cell genome is riddled with errors, raising questions about its continued use.

HeLa cells have contributed to work in thousands
of research papers but sequencing shows their genome
to be full of errors.
 
THOMAS DEERINCK,
NCMIR/SCIENCE PHOTO LIBRARY
The research world’s most famous human cell has had its genome decoded, and it’s a mess. German researchers this week report the genome sequence of the HeLa cell line, which originates from a deadly cervical tumour taken from a patient named Henrietta Lacks.

Established after Lacks died in 1951, HeLa cells were the first human cells to grow well in the laboratory. The cells have contributed to more than 60,000 research papers, the development of a polio vaccine in the 1950s and, most recently, an international effort to characterize the genome, known as ENCODE.

Previous work showed that HeLa cells, like many tumours, have bizarre, error-filled genomes, with one or more extra copies of many chromosomes. To get a closer look at these alterations, a team led by Lars Steinmetz, a geneticist at the European Molecular Biology Laboratory in Heidelberg, Germany, sequenced the popular 'Kyoto' version of the cell line and compared the sequence with that of a reference human genome. The team's results are published in G31.

Steinmetz’s team confirmed that HeLa cells contain one extra version of most chromosomes, with up to five copies of some. Many genes were duplicated even more extensively, with four, five or six copies sometimes present, instead of the usual two. Furthermore, large segments of chromosome 11 and several other chromosomes were reshuffled like a deck of cards, drastically altering the arrangement of the genes.

Without the genome sequence of Lacks’ healthy cells or that of her original tumour, it is difficult to trace the origin of these alterations. Steinmetz points out that other cervical tumours have massive rearrangements on chromosome 11, so the changes in the HeLa cell may have contributed to Lacks’ tumour.

Henrietta Lacks, whose cancer
gave rise to HeLa cells. 

OBSTETRICS & GYNAECOLOGY/SCIENCE
PHOTO LIBRARY
Potential uses
Having been replicating in labs around the world for six decades, HeLa cells have also accrued errors not present in the original tumour DNA. Moreover, not all HeLa cells are identical, and Steinmetz says that it would be interesting to chart the cell’s evolution.

Whatever their origin, the genetic changes raise questions over the widespread use of HeLa cells as models for human cell biology, Steinmetz says. For instance, his team found that around 2000 genes are expressed at levels higher than those of normal human tissues because of the duplications. Alternative cell lines, such as induced pluripotent stem cells generated from patient skin cells, offer a more accurate window on human biology, he says.

Mathew Garnett, a cancer biologist at the Wellcome Trust Sanger Institute near Cambridge, UK, says that HeLa cells could prove useful for studying aspects of the biology of cervical tumours, such as their response to cancer drugs.In recent years, the genomes of many cervical tumours have been sequenced, and so it should be possible to see how these compare with the HeLa genome.

Steinmetz also points out that thousands of research papers based on HeLa cells, along with HeLa resources such as genetically manipulated lines and now a genome, means that labs will continue to stock the cells, even if they are not a perfect model of human biology. “These are not going to go out of fashion over the next 10 years,” he says. "I’m not sure where we’re going to be 20 years from now."Nature doi:10.1038/nature.2013.12609

Landry, J. et al. G3 http://dx.doi.org/10.1534/g3.113.005777 (2013).

jueves, 24 de enero de 2013

Could a Surrogate Mother Deliver a Neanderthal Baby?

ORIGINAL: LiveScience
Marc Lallanilla, Life's Little Mysteries Assistant Editor
Date: 21 January 2013 Time: 10:49 AM ET

One scientist speculates that cloning a live Neanderthal might someday be feasible.
CREDIT: Mauro Cutrona 
In a controversial interview that has ignited commentary across the world, a respected Harvard professor of genetics has suggested an "extremely adventurous female human" might someday serve as surrogate mother for a cloned Neanderthal baby.

Besides saying that the cloning of a live Neanderthal baby would be possible in our lifetime, George Church told Der Spiegel magazine that using stem cells to create a Neanderthal could have significant benefits to society. "The first thing you have to do is to sequence the Neanderthal genome, and that has actually been done," Church said.

"The next step would be to chop this genome up into, say, 10,000 chunks and then ... assemble all the chunks in a human stem cell, which would enable you to finally create a Neanderthal clone," Church told Der Spiegel.

Scientists completed the first sequence of the Neanderthal genome in 2010, finding genetic evidence suggesting ancestors of modern humans successfully interbred with Neanderthals, at least occasionally. More recent research has suggested Neanderthal DNA makes up 1 percent to 4 percent of the genomes of modern Eurasians. [The 10 Biggest Mysteries of the First Humans]

The benefits, according to Church, include an increase in genetic diversity. "The one thing that is bad for society is low diversity," Church said. "If you become a monoculture, you are at great risk of perishing. Therefore the recreation of Neanderthals would be mainly a question of societal risk avoidance."

In his book "Regenesis: How Synthetic Biology Will Reinvent Nature and Ourselves" (Basic Books, 2012), Church writes, "If society becomes comfortable with cloning and sees value in true human diversity, then the whole Neanderthal creature itself could be cloned by a surrogate mother chimp — or by an extremely adventurous female human."

Church said in another interview that he isn't advocating for births of Neanderthal babies from human surrogate moms anytime soon, but that people should start discussing the idea today so we're prepared for the future. Even so, other scientists say the idea is not only tangled with ethical issues, but is scientifically impossible for the foreseeable future.

The ethics of human cloning

Not everyone, however, shares Church's interest in cloned Neanderthals, in light of the ethical issues involved.

"I don't think it's fair to put people ... into a circumstance where they are going to be mocked and possibly feared," bioethicist Bernard E. Rollin of Colorado State University in Fort Collins told the British newspaper The Independent.

It's also possible a Neanderthal baby would lack immunity to contemporary infectious diseases, and therefore might not survive, the Independent reports. Neanderthals, our closest known genetic relatives, died off some 30,000 years ago. Recent research, however, has suggested Neanderthals and other extinct humans such as the Denisovans might have endowed some humans with robust immune systems.

"Setting aside the ethical issues behind creating the lone survivor of an extinct human species, doomed to be a freak under the microscope of celebrity … I have to question Dr. Church's contention that it would really be that easy to clone a Neanderthal," Alex Knapp said in Forbes. [The 9 Freakiest Medical Conditions]

"Other mammals have been cloned. But at a cost — clones often experience a host of health problems," Knapp said. "For example, the first cloned sheep, Dolly, was one of 29 cloned embryos. He was the only one to survive."

Any surrogate mothers chosen to give birth to a Neanderthal clone might also suffer, Knapp said. "The reality is that success would require dozens of women — many of whom would almost certainly go through the trauma of miscarriage and stillbirths that appear to be inevitable when it comes to cloning.

"The ethical implications of just this simple aspect of the process are pretty damning," Knapp told Forbes.

Were Church's comments misinterpreted?
Church's statements in the Der Spiegel interview have been wildly distorted, according to some observers. "There's always a danger in taking one little comment and blowing it out of proportion," John Hawks, associate professor of biological anthropology at the University of Wisconsin–Madison, told LiveScience.

"He's really talking about science fiction," Hawks said of Church's comments, adding that with current technology, the cloning of any long-extinct species is "completely impossible."

"We are a long way from taking DNA information and making a living cell from it," Hawks said. And while the cloning and rebirth of extinct animals and humans sounds fascinating, it's really not a scientific priority. "It seems to capture people's imagination, but it's not on anyone's agenda," Hawks said.

"We can do a lot better science with this than cloning and bringing extinct species back to life," Hawks said. "If we could clone Neanderthals, we could address every genetic disorder humans have," Hawks said, referring to the technology and advancements needed to achieve both of these feats.

Church himself has distanced himself from the media frenzy surrounding his Neanderthal commentary. "The real story here is how these stories have percolated and changed in different ways," Church told the Boston Herald. "I'm sure we'll get it sorted out eventually."

"I'm certainly not advocating it," Church said. "I'm saying, if it is technically possible someday, we need to start talking about it today."