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NEW YORK (GenomeWeb News) – The National Cancer Institute today said that it has released a dataset of proteins and phosphopeptides identified by researchers using deep proteomic and phosphoproteomic methods to analyze breast cancer samples.

The dataset was generated by NCI's Clinical Proteomic Tumor Analysis Consortium, which included researchers from the Broad Institute, Fred Hutchinson Cancer Research Center, and Washington University of St. Louis. The investigators used iTRAQ protein quantification methods to develop the dataset of from 105 breast cancer samples.

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Oct
23
Sponsored by
Swift Biosciences

This webinar will illustrate how single-cell methylation sequencing can be applied to gain significant insight into epigenetic heterogeneity in disease states, advancing cancer research discoveries. 

Nov
18
Sponsored by
Mission Bio

This webinar will outline the results of a study that performed integrative single-cell genome and cell surface protein expression profiling of adult acute myeloid leukemia (AML) cases. 

Nov
19
Sponsored by
Stilla

Fluorescent proteins or self-labeling tags are invaluable tools for studying protein dynamics in living cells using fluorescence microscopy. However, quantitative imaging requires physiological levels of expression of the target protein of interest (POI), especially when stoichiometric interactions of the POI need to be investigated.