ISB News

Path-seq illustration

Profiling Pathogen Gene Expression from Infected Host Cells

Researchers at ISB reported a novel method, Path-seq, to profile expression of all MTB genes within infected mice. This study presents the most comprehensive transcriptome profiling of MTB from in vivo infection and a major technical advancement for studying any host-pathogen interaction.

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Reconstructing 'Ötzi' the Iceman’s last meal

Members of the Moritz lab, as part of an international consortium centered in Bolzano Italy, reports this week in Cell, “Current Biology”, a multi-omic approach to identify the stomach contents and microbiome of the 5300 year old Mummy, Oetzi, the Iceman from the Oetzal Alps on the Austrian/Italian border.

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ISB-CGC banner image

‘Pushing Cancer Research Forward:’ Powerful ISB Cancer Genomics Cloud Tool in Spotlight

Institute for Systems Biology, Google and CSRA have jointly created a cloud-based platform that allows researchers to quickly, reliably and securely access massive amounts of data in ways that, until now, haven’t been possible.

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ISB Artwork Featured On Cover of Nature Biotechnology

Institute for Systems Biology and Arivale “Pioneer 100 Study” is featured on the cover of August’s Nature Biotechnology. The artwork was created by ISB’s Associate Director of Communications Allison Kudla in collaboration with contributing author John C. Earls, software engineer in Hood/Price Lab.

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Warhol style Plasmodium

The Other Malaria: Finding New Targets for a Vaccine Against Plasmodium vivax

A new report in PLOS Neglected Tropical Diseases describes the results of an international collaboration led by researchers at ISB and Seattle’s Center for Infectious Disease Research (CIDResearch). We used mass spectrometry-based proteomics to identify nearly 2,000 proteins present in Plasmodium vivax parasites, one of the Plasmodium species that cause the disease malaria in humans. The work was done on parasites dissected from mosquito salivary glands, parasites that were in…

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Adaptive Prediction of Yeast

New Study on How Microbes Learn to Predict the Future

In a study published in Genome Biology and Evolution, researchers at Institute for Systems Biology (ISB) designed an experiment to evolve novel adaptive prediction capability in yeast by repetitively exposing it to caffeine, followed by a toxin. Remarkably, the yeast cells learned the structure of this novel environmental pattern within as few as 50 generations to use caffeine as a cue for anticipating and mitigating lethal effects of the toxin.

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Pioneer 100 Study

Institute for Systems Biology and Arivale “Pioneer 100 Study” Establishes Foundation for New Industry of Scientific Wellness

Institute for Systems Biology and Arivale “Pioneer 100 Study” Establishes Foundation for New Industry of Scientific Wellness. Personal, dense, dynamic data clouds enable novel insights into mechanisms of wellness and disease, new approaches to biomarker discovery, and the empowerment of individuals to enhance their own health.

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TCGA, ISB Researchers Identify Potential Drug Targets for Leading Form of Deadly Liver Cancer

June 19, 2017 Researchers in ISB’s Shmulevich Lab and their colleagues in The Cancer Genome Atlas Research Network performed the first large-scale, multi-platform analysis of hepatocellular carcinoma, the predominant form of liver cancer. Study was published on June 15, 2017, in the journal Cell. 3 Bullets: Liver cancer is the second most common cause of death from cancer worldwide. ISB researchers and colleagues from The Cancer Genome Atlas Research Network…

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New Publication in Cell Systems

April 25, 2017 A Cell-Surface Membrane Protein Signature for Glioblastoma 3 bullets: Using integrated protein and gene expression data, ISB researchers developed a 33-gene signature for glioblastoma, an aggressive form of brain cancer. Glioblastoma gene signatures are associated with TGF-b signaling and cancer invasion. Researchers think that some of the glioblastoma gene signatures have the potential to be used as blood biomarkers for this aggressive cancer. Read the full summary…

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William Poole, 2013 undergrad intern

Former Undergrad Intern Publishes Algorithm in PLOS Computational Biology

Posted March 1, 2017 In a study published in PLoS Computational Biology, researchers at Institute for Systems Biology (ISB) have developed a multiscale mutation clustering algorithm (M2C) that identifies variable length regions with high mutation density in cancer genes. The M2C algorithm was developed by William Poole (first author on the paper), who started as a summer intern in 2013 as part of ISB’s Center for Systems Biology internship program….

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New Paper on Huntington’s Disease

Feb. 27, 2017 ISB researchers and colleagues from several institutes published a new study today in Human Molecular Genetics. The key points of the study “High resolution time-course mapping of early transcriptomic, molecular and cellular phenotypes in Huntington’s disease CAG knock-in mice across multiple genetic backgrounds” are: A multi-institute collaboration mapped in high resolution the earliest effects of the Huntington’s disease mutation in mice. The study included four different genetic…

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Lena Joesch-Cohen

ISB Undergrad Intern Publishes Paper in Journal

Congratulations to Lena Joesch-Cohen (pictured above), who was one of ISB’s 2016 summer undergrad interns, just published a paper on the project she completed with Gustavo Glusman (Principal Scientist, Hood Lab). “Differences between the genomes of lymphoblastoid cell lines and blood-derived samples” was published on Feb. 23, 2017, in Dove Press. In a recommendation letter that Gustavo wrote to support Lena, he said this: “Lena is an outstanding scholar. Despite…

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New Study: Using Single-Cell Technology to Predict Cell Behavior

In a study published in PLOS BIOLOGY, researchers at Institute for Systems Biology (ISB) explain how they developed a new theory for predicting cell-fate decisions and demonstrate, for the first time, that cells indeed undergo a critical transition – or tipping point – when they commit to a particular lineage. Jan. 9, 2017 3 Bullets: ISB researchers developed a new theory that uses state-of-the-art single-cell technology to make predictions about…

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Comprehensive study of esophageal cancer reveals several molecular subtypes, provides new insight into increasingly prevalent disease

The Cancer Genome Atlas Research Network recommends clinical trials organizers and drug manufacturers focus on newly discovered molecular subtypes GRAND RAPIDS, Mich., Jan. 4, 2017 –– A comprehensive analysis of 559 esophageal and gastric cancer samples, collected from patients around the world, suggests the two main types of esophageal cancer differ markedly in their molecular characteristics and should be considered separate diseases. The study, published today in Nature from The…

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New Study Identifies Organ-Specific Biomarkers for Acute Liver Injury

ISB scientists recently published a study in the Journal of Proteome Research that presents results from a study on identifying organ-specific blood biomarkers for acute liver injury due to over-exposure to acetaminophen. From the summary: 3 Bullets: Finding organ-specific blood biomarkers for disease that are clinically useful is challenging. New study identifies organ-specific blood biomarkers for acute liver injury caused by over-exposure to acetaminophen. ISB researchers use the powerful, targeted…

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New Baliga Lab Publication in Cell Systems

The Baliga Lab’s Dr. Christopher Plaisier was the lead author of the study “Causal Mechanistic Regulatory Network for Glioblastoma Deciphered Using Systems Genetics Network Analysis” which published online in Cell Systems on July 14. Dr. Plaisier wrote a summary of the research: 3 Bullets: Using data from TCGA and ENCODE, ISB researchers developed integrative database and analysis platforms that provide insight about the underpinnings of glioblastoma multiforme. Researchers developed a…

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