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Michael Schatz

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Michael Schatz and Aspyn Palatnick. Photo by Lauryl Palatnick

By Daniel Dunaief

Michael Schatz, Adjunct Associate Professor at Cold Spring Harbor Laboratory, saw some similarities to his own life when he met the then 14-year old Aspyn Palatnick.

Palatnick, who was a student at Cold Spring Harbor High School, had been developing games for the iPhone. When he was that age, Schatz, who is also a Bloomberg Distinguished Associate Professor of Computer Science and Biology at Johns Hopkins University, stayed up late into the evening programming his home computer and building new software systems.

Meeting Palatnick eight years ago was a “really special happenstance,” Schatz said. He was “super impressed” with his would-be young apprentice.

When he first met Schatz, Palatnick explained in an email that he “realized early on that he would be an invaluable mentor across research, computer science, and innovation.”

Palatnick was looking for the opportunity to apply some of the skills he had developed in making about 10 iPhone games, including a turtle racing game, to real-world problems.

Knowing that Palatnick had no formal training in computer science or genetics, Schatz spent the first several years at the white board, teaching him core ideas and algorithms.

“I was teaching him out of graduate student lecture notes,” Schatz said.

Schatz and Palatnick, who graduated with a bachelors and master’s from the University of Pennsylvania and works at Facebook, have produced a device which they liken to a “tricorder” from Star Trek. Using a smart phone or other portable technology, the free app they created called iGenomics is a mobile genome sequence analyzer.

The iPhone app complements sequencing devices Oxford Nanopore manufactures. A mobile genetic sequencer not only could help ecologists in the field who are studying the genetic codes for a wide range of organisms, but it could also be used in areas like public health to study the specific gene sequences of viruses like SARS-CoV-2, which causes COVID-19.

In a paper published in GigaScience, Schatz and Palatnick describe how to use iGenomics to study flu genomes extracted from patients. They also have a tutorial on how to use iGenomics for COVID-19 research.

While developing the mobile sequencing device wasn’t the primary focus of Schatz’s work, he said he and others across numerous departments at Johns Hopkins University spent considerable time on it this summer, as an increasing number of people around the world contracted the virus.

“It very rapidly became how I was spending the majority of my time,” said Schatz.

Palatnick is pleased with the finished product.

“We’ve made DNA sequence analysis portable for the first time,” he explained in an email.

Palatnick said the app had to use the same algorithms as traditional genomics software running on supercomputers to ensure that iGenomics was accurate and practical. Building algorithms capable of rendering DNA alignments and mutations as users tapped, scrolled and pinched the views presented a technical hurdle, Palatnick wrote.

While Schatz is optimistic about the vaccinations that health care workers are now receiving, he said a mass vaccination program introduces new pressure on the virus.

“We and everyone else are watching with great interest to see if [the vaccinations] cause the virus to mutate,” Schatz said. “That’s the big fear.”

Working with the sequences from Nanopore technology, iGenomics can compare the entire genome to known problematic sequences quickly. Users need to get the data off the Oxford Nanopore device and onto the app. They can do that using email, from Dropbox or the web. 

In prior viral outbreaks, epidemiologists traveled with heavier equipment to places like West Africa to monitor the genome of Ebola or to South and Central America to study the Zika virus genome.

“There’s clearly a strong need to have this capability,” Schatz said.

Another iGenomics feature is that it allows users to airdrop any information to people, even when they don’t have internet access.

Schatz urged users to ensure that they use a cloud-based system with strong privacy policies before considering such approaches, particularly with proprietary data or information for which privacy is critical.

As for COVID-19, people with the disease have shown enough viral mutations that researchers can say whether the strain originated in Europe or China.

“It’s kind of like spelling mistakes,” Schatz said. “There are enough spelling mistakes where [researchers] could know where it came from.”

Palatnick described iGenomics as an “impactful” tool because the app has increased the population of people who can explore the genome from institutional researchers to anyone with an iPhone or iPad.

In the bigger picture, Schatz is broadly interested in learning how the genome creates differences.

“It’s important to understand these messages for the foods we eat, the fuels we use, the medicines we take,” Schatz said. “The next frontier is all about interpretation. One of the most powerful techniques is comparing one genome to another.”

Schatz seeks out collaborators in a range of fields and at numerous institutions, including Cold Spring Harbor Laboratory.

Schatz and W. Richard McCombie, Professor at CSHL, are studying the genomes of living fossils. These are species that haven’t evolved much over millions of years. They are focusing on ancient trees in Australia that have, more or less, the same genetic make up they did 100 million years ago.

As for Palatnick, Schatz described his former intern and tricorder creating partner as a “superstar in every way.” Schatz said it takes considerable fortitude in science, in part because it takes years to go from an initial idea on a napkin to something real.

Down the road, Schatz wouldn’t be surprised if Palatnick took what he learned and developed and contributed to the founding of the next Twitter or Facebook.

“He has that kind of personality,” Schatz said.

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Michael Schatz. Photo courtesy of Cold Spring Harbor Laboratory

By Daniel Dunaief

What if an enormous collection of Scrabble letters were spread out across the floor? What if several letters came together to form the word “victory”? Would that mean something? On its own, the word might be encouraging, depending on the context.

Genetic researchers are constantly looking at letters for the nucleotides adenine, guanine, cytosine and tyrosine, searching for combinations that might lead to health problems or, eventually, diseases like cancer.

For many of these diseases, seeing the equivalent of words like “cancer,” “victory” and “predisposition” are helpful, but they are missing a key element: context.

W. Richard McCombie

Michael Schatz, an adjunct associate professor at Cold Spring Harbor Laboratory who is also the Bloomberg distinguished associate professor at Johns Hopkins, and W. Richard McCombie, a professor at Cold Spring Harbor Laboratory, use long-read sequencing technology developed by Pacific Biosciences to find genetic variants that short-read sequencing missed.

The two scientists recently teamed up to publish their work on the cover of the August issue of the journal Genome Research. They provided a highly detailed map of the structural variations in the genes of a breast cancer cell.

“This is one of many covers [of scientific journals] that we are pleased and proud of,” said Jonas Korlach, the chief scientific officer at Menlo Park, California-based Pacific Biosciences. 

“This is another example of how long-read sequencing can give you a more complete picture of the genome and allow researchers to get a more complete understanding of the underlying biology and here, specifically, that underlies the transition from a health to a cancer disease state,” he said.

Schatz and McCombie were able to see fine detail and the context for those specific sequences. They were able to see about 20,000 structural variations in the cancer genome. “It’s like using Google maps,” explained Schatz in a recent interview. “You can see the overall picture of the country and then you can see roads and zoom out.”

In the context of their genetics work, this means they could see large and small changes in the genome. Only about a quarter of the variants they found could be detected without long-read technology.

In breast cancer, scientists currently know about a family of genes that could be involved in the disease. At this point, however, they may be unaware of other variants that are in those genes. Schatz is hoping to develop more sensitive diagnostics to identify more women at risk.

People like actress and advocate Angelina Jolie have used their genetic screens to make informed decisions about their health care even before signs of any problems arise. Jolie had a double mastectomy after she learned she had the mutation in the BRCA1 gene that put her at an 87 percent risk of developing breast cancer.

By studying the sequence of genes involved in breast cancer, researchers may be able to identify other people that are “at high risk based on their genetics,” Schatz said.

Knowing what’s in your genome can help people decide on potentially prophylactic treatments. 

When people discover that they have breast cancer, they typically choose a specific type of treatment, depending on the subtype of cancer.

“There’s a lot of interest to divide [the genetic subtypes] down into even finer detail,” said Schatz, adding, “There’s also interest in transferring those categories into other types of cancer, to give [patients] better treatments if and when the disease occurs.”

The reduced cost of sequencing has made these kinds of studies more feasible. In 2012, this study of the breast cancer genome would have cost about $100,000. To do this kind of research today costs closer to $10,000 and there’s even newer sequencing technology that promises to be even less expensive, he said.

Pacific Biosciences continues to see a reduction in the cost of its technology. The company plans to introduce a new chip next year that has an eightfold higher capacity, Korlach said.

Schatz said the long-term goal is to apply this technique to thousands of patients, which could help detect and understand genetic patterns. He and McCombie are following up on this research by looking at patients at Northwell Health.

In this work, Schatz’s group wrote software that helped decipher the code and the context for the genetic sequence.

“The instrument doesn’t know anything about genes or cancer,” he said. “It produces raw data. We write software that can take those sequences and compare them to the genome and look for patterns to evaluate what this raw data tells us.”

Schatz described McCombie, with whom he speaks every day or so, as his “perfect complement.” He suggested that McCombie was one of the world’s leaders on the experimental side, adding, “There’s a lot of artwork that goes into running the instruments. My lab doesn’t have that, but his lab does.”

Working with his team at CSHL and Johns Hopkins has presented Schatz with numerous opportunities for growth and advancement.

“Cold Spring Harbor is an internationally recognized institute for basic science, while Johns Hopkins is also an internationally recognized research hospital and university,” he explained. He’s living in the “best of both worlds,” which allows him to “tap into amazing people and resources and capacities.”

Korlach has known Schatz for at least a decade. He said he’s been “really impressed with his approach,” and that Schatz is “highly regarded by his peers and in the community.”

Schatz is also a “terrific mentor” who has helped guide the development of the careers of several of his former students, Korlach said.

Down the road, Schatz also hopes to explore the genetic signature that might lead to specific changes in a cancer, transforming it from an organ-specific disease into a metastatic condition.

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