Proteomics

Dataset Information

0

Cell Data-Indenpendent acquisition LC-MS/MS


ABSTRACT: In this work, a microwell-chip was prepared and modified. The microwell-chip was used for extraction of metabolites and subsequent protein digestion. Next, direct electrospray ionization mass spectrometry (ESI-MS) was adopted for metabolome identification and a data independent acquisition (DIA)-MS approach was established for simultaneous proteome profiling and phosphoproteome analysis. In particular, application of this strategy provides a multi-omics view of cellular changes.

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Homo Sapiens (human) Mus Musculus (mouse)

TISSUE(S): Epithelial Cell, Cell Culture

DISEASE(S): Cervix Carcinoma

SUBMITTER: Yuanyuan Li  

LAB HEAD: Weijie Qin

PROVIDER: PXD025634 | Pride | 2021-11-08

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
1line_sp_mouse_20180529.fasta Fasta
Database_HELA_1_1_Fraction1_R1.raw Raw
Database_HELA_1_2_Fraction2_R1.raw Raw
Database_HELA_1_3_Fraction3_R1.raw Raw
Database_HELA_1_4_Fraction4_R1.raw Raw
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Publications

An Integrated Strategy for Mass Spectrometry-Based Multiomics Analysis of Single Cells.

Li Yuanyuan Y   Li Hang H   Xie Yuping Y   Chen Shuo S   Qin Ritian R   Dong Hangyan H   Yu Yongliang Y   Wang Jianhua J   Qian Xiaohong X   Qin Weijie W  

Analytical chemistry 20211013 42


Single-cell-based genomics and transcriptomics analysis have revealed substantial cellular heterogeneity among seemingly identical cells. Knowledge of the cellular heterogeneity at multiomics levels is vital for a better understanding of tumor metastasis and drug resistance, stem cell differentiation, and embryonic development. However, unlike genomics and transcriptomics studies, single-cell characterization of metabolites, proteins, and post-translational modifications at the omics level remai  ...[more]

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