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Chanchal Kumar

Researcher at AstraZeneca

Publications -  36
Citations -  12502

Chanchal Kumar is an academic researcher from AstraZeneca. The author has contributed to research in topics: Proteome & Proteomics. The author has an hindex of 20, co-authored 35 publications receiving 11482 citations. Previous affiliations of Chanchal Kumar include Merck & Co. & Max Planck Society.

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Lysine Acetylation Targets Protein Complexes and Co-Regulates Major Cellular Functions

TL;DR: A proteomic-scale analysis of protein acetylation suggests that it is an important biological regulatory mechanism and the regulatory scope of lysine acetylations is broad and comparable with that of other major posttranslational modifications.
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Global, in vivo, and site-specific phosphorylation dynamics in signaling networks.

TL;DR: A general mass spectrometric technology is developed and applied for identification and quantitation of phosphorylation sites as a function of stimulus, time, and subcellular location to provide a missing link in a global, integrative view of cellular regulation.
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Quantitative Phosphoproteomics Reveals Widespread Full Phosphorylation Site Occupancy During Mitosis

TL;DR: High-resolution mass spectrometry–based proteomics was applied to investigate the proteome and phosphoproteome of the human cell cycle on a global scale and quantified 6027 proteins and 20,443 unique phosphorylation sites and their dynamics, finding that nuclear proteins and proteins involved in regulating metabolic processes have high phosphorylated site occupancy in mitosis, suggesting that these proteins may be inactivated by phosphorylate in mitotic cells.
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The human urinary proteome contains more than 1500 proteins, including a large proportion of membrane proteins.

TL;DR: The analysis provides a high-confidence set of proteins present in human urinary proteome and provides a useful reference for comparing datasets obtained using different methodologies and may prove useful in biomarker discovery in the future.
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Comparative Proteomic Phenotyping of Cell Lines and Primary Cells to Assess Preservation of Cell Type-specific Functions

TL;DR: Bioinformatic analysis of the quantitative proteomics phenotypes revealed that Hepa1–6 cells were deficient in mitochondria, reflecting re-arrangement of metabolic pathways, drastically up-regulate cell cycle-associated functions and largely shut down drug metabolizing enzymes characteristic for the liver.