Article

Increasing the throughput of sensitive proteomics by plexDIA

2021-11-04

Abstract excerpt

Current mass-spectrometry methods enable high-throughput proteomics of large sample amounts, but proteomics of low sample amounts remains limited in depth and throughput. To increase the throughput of sensitive proteomics, we developed an experimental and computational framework, plexDIA, for simultaneously multiplexing the analysis of both peptides and samples. Multiplexed analysis with plexDIA increases throughp...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: b018d34a-5230-547d-9dcc-975f9c15d625
DOI: 10.1101/2021.11.03.467007

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Increasing the throughput of sensitive proteomics by plexDIADOI 10.1101/2021.11.03.467007Read

Challenging the Astral <sup>™</sup> mass analyzer - up to 5300 proteins per single-cell at unseen quantitative accuracy to study cellular heterogeneitySemantic proximity Read

Comparative proteome signatures of trace samples by multiplexed Data-Independent AcquisitionSemantic proximity Read

Ultra-high sensitivity mass spectrometry quantifies single-cell proteome changes upon perturbationSemantic proximity Read

Low cell number proteomic analysis using in-cell protease digests reveals a robust signature for cell cycle state classificationSemantic proximity Read

μDamID: a microfluidic approach for imaging and sequencing protein-DNA interactions in single cellsSemantic proximity Read

DIP-MS: A novel ultra-deep interaction proteomics for the deconvolution of protein complexesSemantic proximity Read

QuickProt: A bioinformatics and visualization tool for DIA and PRM mass spectrometry-based proteomics datasetsSemantic proximity Read

Unveiling the Power of High-Dimensional Cytometry Data with cy <i>CONDOR</i>Semantic proximity Read

High sensitivity dia-PASEF proteomics with DIA-NN and FragPipeSemantic proximity Read

Boosting the Sensitivity of Quantitative Single-Cell Proteomics with Activated lon-Tandem Mass Tags (AI-TMT)Semantic proximity Read

Peptide Identification and Quantification by Gas Phase Fractionation Enables Proteomics Without Liquid ChromatographySemantic proximity Read

Introduction to Multiparametric Flow Cytometry and Analysis of High-Dimensional Data.Semantic proximity Read