Evidence map›Paper›PMID 26163349›Full record

ReviewMatrix biology : journal of the International Society for Matrix Biology2016

The extracellular matrix: Tools and insights for the "omics" era.

Alexandra Naba, Karl R Clauser, Huiming Ding, Charles A Whittaker, Steven A Carr, Richard O Hynes

Open access · hybridAbstract readReview
In one paragraph

Review in Matrix biology : journal of the International Society for Matrix Biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 589 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
589citing papers in PubMed, 3 pooled it
28.1field-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

589 citing papers in PubMed, 3 syntheses or guidelines pooled it, 1,024 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Type VIII collagen: advances in matrix biology and translational promise.Frontiers in bioengineering and biotechnology · 2025
    Pooled it
  4. Trial
  5. ADAMTS14 is a novel modulator of fibroblast mechanoactivation in pulmonary fibrosis.American journal of respiratory and critical care medicine · 2026
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  11. Impact ofInternational journal of molecular sciences · 2026
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529 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

6 authors at 3 institutions in 1 country.

Alexandra NabaDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. Electronic address: anaba@mit.edu.
Karl R ClauserProteomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Huiming DingDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Barbara K. Ostrom Bioinformatics and Computing facility at the Swanson Biotechnology Center, Cambridge, MA 02139, USA.
Charles A WhittakerDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Barbara K. Ostrom Bioinformatics and Computing facility at the Swanson Biotechnology Center, Cambridge, MA 02139, USA.
Steven A CarrProteomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Richard O HynesDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. Electronic address: rohynes@mit.edu.
Massachusetts Institute of Technology · USBroad Institute · USHoward Hughes Medical Institute · US

Funding

VIRUS PRODUCTION COREP30CA014051 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI MATTHEW G. VANDER HEIDEN · 1985 to 2026
$93.9M
Tumor-Stroma Interacions in the Tumor MicroenvironmentU54CA126515 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI WEINBERG, ROBERT A · 2006 to 2010
$6.5M
The Extracellular Matrix in Tumor Progression and MetastasisU54CA163109 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI WEINBERG, ROBERT A · 2011 to 2015
$3.7M
Howard Hughes Medical InstituteNCI NIH HHS CA163109NCI NIH HHS P30 CA014051NCI NIH HHS P30-CA14051NCI NIH HHS U54 CA126515NCI NIH HHS U54 CA163109
6 · The paper itself

Abstract

The extracellular matrix (ECM) is a fundamental component of multicellular organisms that provides mechanical and chemical cues that orchestrate cellular and tissue organization and functions. Degradation, hyperproduction or alteration of the composition of the ECM cause or accompany numerous pathologies. Thus, a better characterization of ECM composition, metabolism, and biology can lead to the identification of novel prognostic and diagnostic markers and therapeutic opportunities. The development over the last few years of high-throughput ("omics") approaches has considerably accelerated the pace of discovery in life sciences. In this review, we describe new bioinformatic tools and experimental strategies for ECM research, and illustrate how these tools and approaches can be exploited to provide novel insights in our understanding of ECM biology. We also introduce a web platform "the matrisome project" and the database MatrisomeDB that compiles in silico and in vivo data on the matrisome, defined as the ensemble of genes encoding ECM and ECM-associated proteins. Finally, we present a first draft of an ECM atlas built by compiling proteomics data on the ECM composition of 14 different tissues and tumor types.

Indexed as

AnimalsComputational BiologyDatabases, ProteinExtracellular MatrixExtracellular Matrix ProteinsHumansInternetNeoplasmsOrgan SpecificityProteomicsExtracellular Matrix ProteinsBioinformaticsECM atlasExtracellular matrixMatrisomeMatrisomeDBProteomics

Identifiers

PMID26163349
PMCPMC5013529
OpenAlexW797317773

What OpenQuestion holds

Textmetadata
LicenceTDM
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.