Evidence map›Paper›PMID 31586405›Full record

ArticleNucleic acids research2020

MatrisomeDB: the ECM-protein knowledge database.

Xinhao Shao, Isra N Taha, Karl R Clauser, Yu Tom Gao, Alexandra Naba

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 181 papers.

0numbers the graph read from it
0cells of the map it votes in
181citing papers in PubMed
12.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

181 citing papers in PubMed, 330 citations in OpenAlex.

  1. Trial
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  3. ADAMTS14 is a novel modulator of fibroblast mechanoactivation in pulmonary fibrosis.American journal of respiratory and critical care medicine · 2026
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121 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Xinhao ShaoCollege of Pharmacy, University of Illinois at Chicago, Chicago, IL 60612, USA.
Isra N TahaDepartment of Physiology and Biophysics, University of Illinois at Chicago, Chicago, IL 60612, USA.
Karl R ClauserBroad Institute, Cambridge, MA 02139, USA.
Yu Tom GaoCollege of Pharmacy, University of Illinois at Chicago, Chicago, IL 60612, USA.
Alexandra NabaDepartment of Physiology and Biophysics, University of Illinois at Chicago, Chicago, IL 60612, USA.
University of Illinois Chicago · USBroad Institute · US

Funding

Highly sensitive proteomics method to probe cell heterogeneity at single cell resolutionR35GM133416 · NIGMS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI Yu Gao · 2019 to 2026
$2.4M
NIGMS NIH HHS R35 GM133416
6 · The paper itself

Abstract

The extracellular matrix (ECM) is a complex and dynamic meshwork of cross-linked proteins that supports cell polarization and functions and tissue organization and homeostasis. Over the past few decades, mass-spectrometry-based proteomics has emerged as the method of choice to characterize the composition of the ECM of normal and diseased tissues. Here, we present a new release of MatrisomeDB, a searchable collection of curated proteomic data from 17 studies on the ECM of 15 different normal tissue types, six cancer types (different grades of breast cancers, colorectal cancer, melanoma, and insulinoma) and other diseases including vascular defects and lung and liver fibroses. MatrisomeDB (http://www.pepchem.org/matrisomedb) was built by retrieving raw mass spectrometry data files and reprocessing them using the same search parameters and criteria to allow for a more direct comparison between the different studies. The present release of MatrisomeDB includes 847 human and 791 mouse ECM proteoforms and over 350 000 human and 600 000 mouse ECM-derived peptide-to-spectrum matches. For each query, a hierarchically-clustered tissue distribution map, a peptide coverage map, and a list of post-translational modifications identified, are generated. MatrisomeDB is the most complete collection of ECM proteomic data to date and allows the building of a comprehensive ECM atlas.

Indexed as

Databases, ProteinExtracellular Matrix ProteinsProteomicsAmino Acid SequenceComputational BiologyHumansMass SpectrometryPeptidesWeb BrowserExtracellular Matrix ProteinsPeptides

Identifiers

PMID31586405
PMCPMC6943062
OpenAlexW2978880851

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.