Evidence map›Paper›PMID 20237418›Full record

ReviewCell cycle (Georgetown, Tex.)2010

MicroRNA-210: a unique and pleiotropic hypoxamir.

Stephen Y Chan, Joseph Loscalzo

Registry-linked trialOpen access · bronzeAbstract readReview
In one paragraph

Review in Cell cycle (Georgetown, Tex.), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01911091 (Identification of Novel Skeletal Muscle-derived Factors That Promote Lipid Oxidation in Both Skeletal Muscle and Adipose Tissue), which is not on this map. Cited by 207 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
207citing papers in PubMed, 1 pooled it
10.7field-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.

NCT01911091 naactive not recruitingnot on this mapstarted 2013, after this paper: background citation

Identification of Novel Skeletal Muscle-derived Factors That Promote Lipid Oxidation in Both Skeletal Muscle and Adipose Tissue

TypeinterventionalSponsorAdventHealth Translational Research InstituteRan2013 to 2026Enrolled56ConditionsObesity, Disorder of Lipid Storage and Metabolism, Lipid Metabolism Disorders, Metabolic DisorderArmsExercise
3 · Its place in the literature

Who cites it

207 citing papers in PubMed, 1 synthesis or guideline pooled it, 349 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Therapeutic Potential of Modulating Gene-MicroRNA Crosstalk in Burn Injury.International journal of molecular sciences · 2025
    Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Extracellular Vesicles as Biomarkers of Pregnancy Complications.International journal of molecular sciences · 2024
    Review
  18. Article
  19. Article
  20. Article

147 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 at 2 institutions in 1 country.

Stephen Y ChanHarvard Medical School; Boston, MA.
Joseph Loscalzo
Harvard University · USPartners In Care · US

Funding

Single Molecule Analysis of Sickle Erythrocyte Adhesion in Sickle Cell DiseaseU54HL070819 · NHLBI · BOSTON MEDICAL CENTER · PI STEINBERG, MARTIN H. · 2003 to 2011
$12.5M
GPx-3 and Peroxide Flux in the Endothelial CellR37HL061795 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LOSCALZO, JOSEPH · 2007 to 2016
$4.3M
PLATELET DERIVED REACTIVE OXYGEN SPECIES AND PLAQUER01HL061795 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LOSCALZO, JOSEPH · 1998 to 2006
$1.6M
Functions of the Hypoxia-Induced MicroRNA-210 in Pulmonary Vascular EndotheliumK08HL096834 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI CHAN, STEPHEN Y · 2010 to 2014
$687k
NHLBI PROTEOMICS INITIATIVE-N01HV28178N01HV028178 · HV · BOSTON UNIVERSITY MEDICAL CAMPUS · PI COSTELLO, CATHERINE E. · 2002 to 2006
–
STRUCTURAL CHARACTERIZATION OF THE APOPROTEIN E RECEPTORR01HL028178 · NHLBI · J. DAVID GLADSTONE INSTITUTES · PI INNERARITY, THOMAS L. · 1986 to 1988
–
NHLBI NIH HHS HL 61795NHLBI NIH HHS K08 HL096834NHLBI NIH HHS N01 HV028178NHLBI NIH HHS R01 HL061795NHLBI NIH HHS R37 HL061795NHLBI NIH HHS U54 HL070819NHLBI NIH HHS U54 HL 70819
6 · The paper itself

Abstract

Inadequate oxygen availability or hypoxia induces a complex and still incompletely understood set of adaptations that influence cellular survival and function. Many of these adaptations are directly controlled by a master transcription factor, hypoxia inducible factor-alpha (HIF-α). In response to hypoxia, HIF-α levels increase and directly induce the transcription of > 100 genes, influencing functions ranging from metabolism, survival, proliferation, migration, to angiogenesis, among others. Recently, it has been demonstrated that a specific set of microRNA molecules are upregulated by hypoxia, which we denote here as "hypoxamirs." In particular, the HIF-responsive hypoxamir microRNA-210 (miR-210) is a unique microRNA that is evolutionarily conserved and ubiquitously expressed in hypoxic cell and tissue types. A number of direct targets of miR-210 have been identified by in silico, transcriptional, and biochemical methods, a subset of which have been extensively validated. As a result, miR-210 has been mechanistically linked to the control of a wide range of cellular responses known to influence normal developmental physiology as well as a number of hypoxia-dependent disease states, including tissue ischemia, inflammation, and tumorigenesis. Thus, reflecting the pleiotropic actions of HIF-α, miR-210 appears to function as a "master microRNA" relevant for the control of diverse functions in the hypoxic state.

Indexed as

AnimalsCell HypoxiaCell ProliferationCell SurvivalHumansHypoxia-Inducible Factor 1, alpha SubunitMicroRNAsMitochondriaModels, BiologicalHypoxia-Inducible Factor 1, alpha SubunitMicroRNAs

Identifiers

PMID20237418
PMCPMC2912143
OpenAlexW1977381537

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.