Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: MSV000080374PRJNA356046PRJNA356065MODEL1109130000MODEL1909260003MODEL1909260004MODEL1703310000MODEL1909260005MODEL1909260006MODEL1311110000MODEL1311110001
INSTRUMENT(S): LTQ Orbitrap, Q Exactive
ORGANISM(S): Homo Sapiens (human)
TISSUE(S): Prostate Gland, Kidney Cancer Cell, Cecum Cancer Cell Line, Permanent Cell Line Cell, Prostate Cancer Cell, Renal Cancer Cell Line, Lymph Node, Blood Cancer Cell, Uterine Cervix, Ovary Cancer Cell Line, Brain Cancer Cell Line, Colorectal Cancer Cell Line, Liver Cancer Cell, Colonic Cancer Cell, Prostate Cancer Cell Line, Cervical Cancer Cell Line, Skin Cancer Cell, Bone Cancer Cell Line, Breast Cancer Cell Line, Breast Cancer Cell, Ovary Cancer Cell
DISEASE(S): Prostate Adenocarcinoma,Colon Cancer,Disease Free,Malignant Neoplasm Of Ovary,Breast Cancer
SUBMITTER: Andrew Jarnuczak
LAB HEAD: Juan Antonio Vizcaíno
PROVIDER: PXD013455 | Pride | 2019-07-18
REPOSITORIES: Pride
Action | DRS | |||
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Bekker-Jensen_CellSystems_2017.zip | Other | |||
Coscia_NComms_2016.zip | Other | |||
Frejno_MolSysBiol_2017.zip | Other | |||
Geiger_MCP_2012.zip | Other | |||
Gholami_CellReports_2013.zip | Other |
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Cell systems 20170607 6
This study investigates the challenge of comprehensively cataloging the complete human proteome from a single-cell type using mass spectrometry (MS)-based shotgun proteomics. We modify a classical two-dimensional high-resolution reversed-phase peptide fractionation scheme and optimize a protocol that provides sufficient peak capacity to saturate the sequencing speed of modern MS instruments. This strategy enables the deepest proteome of a human single-cell type to date, with the HeLa proteome se ...[more]