Evidence map›Paper›PMID 19487819›Full record

ReviewThe Journal of clinical investigation2009

Biomarkers for epithelial-mesenchymal transitions.

Michael Zeisberg, Eric G Neilson

Abstract readReview
In one paragraph

Review in The Journal of clinical investigation, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,262 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,262citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

1,262 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  16. NF1 and SPRED1/2 cooperate through RAS-MAPK-independent functions.Proceedings of the National Academy of Sciences of the United States of America · 2026
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1,202 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

2 authors.

Michael ZeisbergDivision of Matrix Biology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts 02215, USA. mzeisber@bidmc.harvard.edu
Eric G Neilson

Funding

RESPONSE OF RENAL CELLS IN INTERSTITIAL NEPHRITISR01DK046282 · NIDDK · VANDERBILT UNIVERSITY · PI NEILSON, ERIC GRANT · 1993 to 2007
$2.5M
Re-Induction of Developmental Programs during Chronic Renal InjuryK08DK074558 · NIDDK · BETH ISRAEL DEACONESS MEDICAL CENTER · PI ZEISBERG, MICHAEL · 2006 to 2010
$646k
Fibroblasts in Acute and Chronic Kidney InjuryR03DK081687 · NIDDK · BETH ISRAEL DEACONESS MEDICAL CENTER · PI ZEISBERG, MICHAEL · 2008 to 2009
$145k
NIDDK NIH HHS DK-074558NIDDK NIH HHS DK-081687NIDDK NIH HHS DK-46282NIDDK NIH HHS K08 DK074558NIDDK NIH HHS R01 DK046282NIDDK NIH HHS R03 DK081687
6 · The paper itself

Abstract

Somatic cells that change from one mature phenotype to another exhibit the property of plasticity. It is increasingly clear that epithelial and endothelial cells enjoy some of this plasticity, which is easily demonstrated by studying the process of epithelial-mesenchymal transition (EMT). Published reports from the literature typically rely on ad hoc criteria for determining EMT events; consequently, there is some uncertainty as to whether the same process occurs under different experimental conditions. As we discuss in this Personal Perspective, we believe that context and various changes in plasticity biomarkers can help identify at least three types of EMT and that using a collection of criteria for EMT increases the likelihood that everyone is studying the same phenomenon - namely, the transition of epithelial and endothelial cells to a motile phenotype.

Indexed as

Cell DifferentiationAnimalsBiomarkersEpithelial CellsFibroblastsHumansMesenchymal Stem CellsNeoplasmsBiomarkers

Identifiers

PMID19487819
PMCPMC2689132

What OpenQuestion holds

Textmetadata
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.