Human SRMAtlas: A Resource of Targeted Assays to Quantify the Complete Human Proteome.

doi:10.1016/j.cell.2016.06.041

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Community

Back to search

Article

Human SRMAtlas: A Resource of Targeted Assays to Quantify the Complete Human Proteome.

Cell - 28 Jul 2016

Kusebauch Ulrike, Campbell David S, Deutsch Eric W, Chu Caroline S, Spicer Douglas A, Brusniak Mi-Youn, Slagel Joseph, Sun Zhi, Stevens Jeffrey, Grimes Barbara, Shteynberg David, Hoopmann Michael R, Blattmann Peter, Ratushny Alexander V, Rinner Oliver, Picotti Paola, Carapito Christine, Huang Chung-Ying, Kapousouz Meghan, Lam Henry, Tran Tommy, Demir Emek, Aitchison John D, Sander Chris, Hood Leroy, Aebersold Ruedi, Moritz Robert L

Abstract excerpt

The ability to reliably and reproducibly measure any protein of the human proteome in any tissue or cell type would be transformative for understanding systems-level properties as well as specific pathways in physiology and disease. Here, we describe the generation and verification of a compendium of highly specific assays that enable quantification of 99.7% of the 20,277 annotated human proteins by the widely...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Access to Information

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Cholesterol

Share to Databases, Protein

Share to Docetaxel

Share to Internet

Share to Proteome

Share to RNA Splicing

Share to Taxoids

Source

Open in PubMed Open full text

Identifiers

PMID: 27453469
DOI: 10.1016/j.cell.2016.06.041
PMCID: PMC5245710

Genes

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Human SRMAtlas: A Resource of Targeted Assays to Quantify the Complete Human Proteome.PMID 27453469Read ↗

Reproducible quantification of cancer-associated proteins in body fluids using targeted proteomics.Semantic proximity Read ↗

A deep proteome and transcriptome abundance atlas of 29 healthy human tissuesSemantic proximity Read ↗

Screening a Resource of Recombinant Protein Fragments for Targeted ProteomicsSemantic proximity Read ↗

Progress Identifying and Analyzing the Human Proteome: 2021 Metrics from the HUPO Human Proteome ProjectSemantic proximity Read ↗

A deep proteome and transcriptome abundance atlas of 29 healthy human tissuesSemantic proximity Read ↗

Metrics for the Human Proteome Project 2016: Progress on Identifying and Characterizing the Human Proteome, Including Post-Translational Modifications.Semantic proximity Read ↗

DPHL: A pan-human protein mass spectrometry library for robust biomarker discoverySemantic proximity Read ↗

A better understanding of molecular mechanisms underlying human disease.Semantic proximity Read ↗

Dynamic human liver proteome atlas reveals functional insights into disease pathwaysSemantic proximity Read ↗

A peptide-centric local stability assay to unveil protein targets of diverse ligandsSemantic proximity Read ↗

Spatial distribution of the proteome in human body and cancersSemantic proximity Read ↗

DPHL v2: An updated and comprehensive DIA pan-human assay library for quantifying more than 14,000 proteinsSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.