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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 systems. It touts work from several of our CPTAC investigators who share their cutting
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 on NCI’s Proteomic (CPTAC) Assay Portal.
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 structures. Before you dust off
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 samples.
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 participant in the global effort to accelerate cancer research.
The National Cancer Center - Korea (NCC-K) joins the International Cancer Proteogenome Consortium (ICPC) global partnership. The NCC-K has joined the ranks of 31 institutions in 12 countries around the world that have previously made this commitment with the
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. 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.
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 guide novel treatment strategies is being uncovered.
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.
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 identify proteins that derive from alterations in cancer genomes and related biological processes and provide this data with accompanying assays, reagents and protocols to the public that allows a wider group of scientists to extend and accelerate knowledge in unanticipated directions.
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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 participants from 20 countries joined the call to develop computational algorithms that would identify multi-omics samples that were switched prior to or during data processing and analysis. By looking at genomic, transcriptomic and proteomic datasets mined from a several single-subject cases, part...
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.
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 - analysis of the genomic and proteomic changes in cancer tumors.
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.
"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 to harness relevant insights from this data.
In February 2019, the precisionFDA and the National Cancer Institute’s (NCI) Clinical Proteomic Tumor Analysis Consortium (CPTAC) (in coordination with DREAM Challenges) proudly announced the best performers in the first-ever Crowdsourced Multi-omics Sample Mislabeling Big Data Challenge.
It is no coincidence that one cellular process is mentioned time and time again in discussions of cell-signaling pathways in cancer - that is phosphorylation. Since its discovery, it has come to be recognized as a global regulator of many intracellular processes such as growth, proliferation, and cell division.
In biomedical research, sample mislabeling, or incorrect annotation has been a long-standing problem that contributes to irreproducible results and invalid conclusions. These problems are particularly prevalent in large scale multi-omics studies where human errors could arise during sample transferring, sample tracking, large-scale data generation, and data sharing/management.
University of Michigan Rogel Cancer Center researchers Arul Chinnaiyan, Alexey Nesvizhskii and colleagues have recently teamed up to catalog circular RNA (circRNA) in multiple cancers and conducted initial research that suggests these stable structures could serve as cancer markers in blood or urine.