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Displaying 121 - 140 of 266
ICPC China Team Comprehensively Characterizes HBV Related Liver Cancer

Hepatocellular carcinoma (HCC), the most common form of liver cancer, occurs most often in people with hepatitis B or C viral (HBV or HCV) infections who drink large amounts of alcohol.  Unlike the recent progress of antiviral-eliminating therapy for ...


CPTAC Teams Up With UniProt!

UniProt, the leading online protein reference library, has teamed up with CPTAC!  Now, search results for your protein-of-interest will include links to the CPTAC Assay Portal for relevant peptides and assay protocols, while giving CPTAC users all the rich functional annotation in UniProt...


CPTAC Researchers Develop Novel RAS-Antibodies for the Cancer Research Community through the NCI RAS-Initiative

RAS gene mutations and their pathways have  stymied cancer researchers for decades.  RAS-driven cancers make up more than 30% of all human cancers due to their association with uncontrollable cell growth, death-signal...


cBioPortal Gets a New Addition: CPTAC Researchers Integrate Mass-Spectrometry Data Into Genomic Platform

Genomics platform cBioPortal offers a “biologist-friendly” resource for querying mutations, copy number variations and gene expression. It contains data from...


Multi-Omics Data Integration Special Issue Features Research from CPTAC Investigators

The Journal of Molecular & Cellular Proteomics has released a special issue this month (August 2019) on Multi-Omics Integration.  The issue sets out to show how multi-omics research is integral to the understanding of biological...


More Validated Targeted MS-based Assays Released on the NCI Proteomics Assay Portal!

New assays have been released today!  CPTAC and researchers from the University of Victoria – Genome British Columbia Proteomics Centre just released over 130 quantitative, fit-for-purpose, multiplexed mouse multiple reaction monitoring (MRM) mass spectrometry (MS)-based  plasma assays for public use...


CPTAC Researchers Develop New Technique for Mapping the O-Glycoproteome

CPTAC researchers at John Hopkins University School of Medicine have developed a technique to reliably identify o-linked glycosylation sites and site-specific glycans with core 1 st...


Low Cell Input? No Problem! CPTAC Researchers Develop Low Sample Input Proteomics Protocol

Proteomic profiling often entails using a large sample input to explore the dynamic nature of protein expression and regulation. However, there are instances when researchers have the opposite due to prior methodology such as fluorescence activated cell sorting (FACS) or when dealing with patient...


Amsterdam UMC Joins the ICPC

June 13th, 2019 marked the addition of our 33rd institution to the International Cancer Proteogenomic Consortium (ICPC).  We are pleased to include Amsterdam UMC as a...


Proteomic Dataset Release of the CPTAC and CBTTC Collaborative Pediatric Brain Tumor Pilot Study

While it’s a common misconception that all tumors in the brain are the same, there are more than 120 subtypes of brain cancers with very diverse features and diagnosis.


Dr. Rodriguez Speaks at JSN, Fujita, and Nagoya University about the Power of Proteogenomics

Dr. Henry Rodriguez gave the keynote address at the 62nd Annual Meeting of the Japanese Society of Nephrology in Nagoya, Japan this week.  In line with the conference’s theme Open The Future, Dr.


The Magic of Proteogenomics Explained Series: CPTAC Proteogenomics Program

Since its first mention in the scientific literature in 2004 by Jaffe et al1, the term proteogenomics has been shrouded in mystery and thick technical language.  It is a complex idea, but one that is gaining traction as its value to improve our understanding of cancer development and potentially...


CPTAC Develops a New Technique (BASIL) to Enhance Phospho Sensitivity from a Small Population of Cells (feasibility on human pancreatic islets)

Phosphorylation is a key process in the regulation of protein activity and has long been appreciated as an essential mechanism for the control of cellular function - tells a protein where to go, what to bind to and even when to die.


CPTAC Releases Lung Adenocarcinoma (LUAD) Proteomic Dataset

The Clinical Proteomic Tumor Analysis Consortium (CPTAC) is pleased to release its newest comprehensive dataset - deep proteomic/phosphoproteomic data and imaging data of Lung Adenocarcinoma (LUAD) patient tumors.  The CPTAC Tumor Characterization Program uses proteogenomic analysis to systematically...


Congratulations to the Best Performers of the precisionFDA/NCI-CPTAC Crowdsourced Multi-omics Sample Mislabeling Correction Big Data Challenge

Riding the wave of the future requires scientists to move away from silo-thinking to an inclusive and collaborative mind set. By leveraging the power of crowdsourcing, precisionFDA and NCI-CPTAC teamed up to launch the Multi-omics Enabled Sample Mislabeling Correction Big Data Challenge. Over 500...


CPTAC Researchers Analyze Colon Cancer Proteins and Genes to Uncover New Potential Treatments

Analyzing both the entire set of genes and all the proteins produced by colon cancer tissues from patient samples has revealed a more comprehensive view of the tumor that points at novel cancer biological mechanisms and possible new therapeutic strategies.


Perspective on the clinical potential of mass spectrometry-based proteogenomics

Is DNA sequencing enough to recommend personalized treatments for cancer patients? In a article published in Nature Reviews Clinical Oncology, CPTAC investigators and colleagues from the Fred Hutch, Baylor College of Medicine, and University of Washington Medicine make the case for proteogenomics -...


CPTAC Genomic Data Now Available in the NCI Genomic Data Commons (GDC)

CPTAC is a comprehensive and coordinated effort to accelerate the understanding of the molecular basis of cancer through the application of robust, quantitative, proteomic technologies and workflows. The overarching goal of CPTAC is to improve our ability to diagnose, treat and prevent cancer.


Be Part of Tomorrow’s Next-Gen Big Data Scientists (BD-STEP Training Fellowship Announcement)

"Big data" is a term to describe data sets so large or complex that traditional data processing strategies are inadequate. As continued advancements in biomedical technologies generate an increasing amount of patient data, administration of patient-centered care will depend, in part, on the ability...


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