Evidence map›Paper›PMID 30160940›Full record

ArticleACS chemical biology2018

Chemical Tools for Selective Activity Profiling of Endogenously Expressed MMP-14 in Multicellular Models.

Neri Amara, Martina Tholen, Matthew Bogyo

Abstract read
In one paragraph

Article in ACS chemical biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Amoeboid-mesenchymal transition and the proteolytic control of cancer invasion plasticity.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  11. The Expanding Role of MT1-MMP in Cancer Progression.Pharmaceuticals (Basel, Switzerland) · 2019
    Review
  12. Article
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

3 authors at 1 institution in 1 country.

Neri Amara
Martina Tholen
Stanford University · US

Funding

Chemical probes for specific targeting of matrix metallo proteasesR01CA179253 · NCI · STANFORD UNIVERSITY · PI BOGYO, MATTHEW · 2014 to 2018
$1.8M
NCI NIH HHS R01 CA179253
6 · The paper itself

Abstract

Matrix metalloproteases (MMPs) are a large family of zinc-dependent endopeptidases involved in a diverse set of physiological and pathological processes, most notably in cancer. Current methods for imaging and quantifying MMP activity lack sufficient selectivity and spatiotemporal resolution to allow studies of specific MMP function in vivo. Previously, we reported a strategy for selective targeting of MMPs by engineering a functionally silent cysteine mutation that enables highly specific covalent modification by a designed activity-based probe. Here, we describe the translation of that technology into a mouse model of breast cancer and subsequent demonstration of the utility of the approach for studies of MMP-14 activation in the tumor microenvironment. Using this approach, we find that MMP-14 is active in late stage tumors and is predominantly associated with stromal cell populations that have been activated by specific signaling molecules (e.g., TGFβ) produced by tumor cells. Our data demonstrate the applicability of this approach for studies of MMP function in whole organisms and identify important regulatory mechanisms for MMP-14 activity in the tumor microenvironment.

Indexed as

Tumor MicroenvironmentAnimalsBreastBreast NeoplasmsDisease Models, AnimalEnzyme ActivationFemaleHumansMatrix Metalloproteinase 14MiceMolecular Probe TechniquesStromal CellsMatrix Metalloproteinase 14

Identifiers

PMID30160940
PMCPMC6763207
OpenAlexW2889476493

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.