Ultra‐high sensitivity mass spectrometry quantifies single‐cell proteome changes upon perturbation-Reference-Cited by-同舟云学术

Ultra‐high sensitivity mass spectrometry quantifies single‐cell proteome changes upon perturbation

Published:2022-02-28 Issue:3 Volume:18 Page:
ISSN:1744-4292
Container-title:Molecular Systems Biology
language:en
Short-container-title:Molecular Systems Biology

Author:

Brunner Andreas‐David¹^ORCID,Thielert Marvin¹,Vasilopoulou Catherine¹,Ammar Constantin¹^ORCID,Coscia Fabian²^ORCID,Mund Andreas²^ORCID,Hoerning Ole B³,Bache Nicolai³,Apalategui Amalia⁴,Lubeck Markus⁴,Richter Sabrina⁵⁶^ORCID,Fischer David S⁵⁶^ORCID,Raether Oliver⁴,Park Melvin A⁷,Meier Florian¹⁸^ORCID,Theis Fabian J⁵⁶^ORCID,Mann Matthias¹²^ORCID

Affiliation:

1. Proteomics and Signal Transduction Max‐Planck Institute of Biochemistry Martinsried Germany

2. NNF Center for Protein Research Faculty of Health and Medical Sciences University of Copenhagen Copenhagen Denmark

3. EvoSep Biosystems Odense Denmark

4. Bruker Daltonik GmbH Bremen Germany

5. Helmholtz Zentrum München – German Research Center for Environmental Health Institute of Computational Biology Neuherberg Germany

6. TUM School of Life Sciences Weihenstephan Technical University of Munich Freising Germany

7. Bruker Daltonics Inc. Billerica MA USA

8. Functional Proteomics Jena University Hospital Jena Germany

Funder

Max-Planck-Gesellschaft

Novo Nordisk Fonden

Deutsches Forschungszentrum für Gesundheit und Umwelt, Helmholtz Zentrum München

Publisher

EMBO

Subject

Applied Mathematics,Computational Theory and Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.15252/msb.202110798

Reference63 articles.

1. Mass-spectrometric exploration of proteome structure and function

2. MS-EmpiRe Utilizes Peptide-level Noise Distributions for Ultra-sensitive Detection of Differentially Expressed Proteins

3. Uncovering Hidden Layers of Cell Cycle Regulation through Integrative Multi-omic Analysis

4. A Novel LC System Embeds Analytes in Pre-formed Gradients for Rapid, Ultra-robust Proteomics

5. DISCO‐MS: proteomics of spatially identified tissues in whole organs;Bhatia HS;BioRxiv,2021

Cited by 226 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Developmental heterogeneity of vascular cells: Insights into cellular plasticity in atherosclerosis?;Seminars in Cell & Developmental Biology;2024-03

2. Micropillar arrays, wide window acquisition and AI-based data analysis improve comprehensiveness in multiple proteomic applications;Nature Communications;2024-02-03

3. Refining Spatial Proteomics by Mass Spectrometry: An Efficient Workflow Tailored for Archival Tissue;2024-01-29

4. Single-cell multiomics decodes regulatory programs for mouse secondary palate development;Nature Communications;2024-01-27

5. Digital PCR for Single-Cell Analysis;Biosensors;2024-01-24