Evidence map›Paper›PMID 26626150›Full record

ArticleNucleic acids research2016

MERAV: a tool for comparing gene expression across human tissues and cell types.

Yoav D Shaul, Bingbing Yuan, Prathapan Thiru, Andy Nutter-Upham, Scott McCallum, Carolyn Lanzkron, George W Bell, David M Sabatini

Abstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed
–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

89 citing papers in PubMed.

  1. Article
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  5. Synthesis and preclinical evaluation of aEuropean journal of nuclear medicine and molecular imaging · 2025
    Article
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  8. Functional genomics reveals an off-target dependency of drug synergy in gastric cancer therapy.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2024
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  9. Article
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  14. The exostosin glycosyltransferase 1/STAT3 axis is a driver of breast cancer aggressiveness.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  15. Article
  16. Building a large gene expression-cancer knowledge base with limited human annotations.Database : the journal of biological databases and curation · 2023
    Article
  17. Article
  18. MST1R as a potential new target antigen of chimeric antigen receptor T cells to treat solid tumors.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2023
    Article
  19. GENI: A web server to identify gene set enrichments in tumor samples.Computational and structural biotechnology journal · 2023
    Article
  20. Article

29 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

8 authors.

Yoav D ShaulWhitehead Institute for Biomedical Research, Nine Cambridge Center, Cambridge, MA 02142, USA Koch Institute for Integrative Cancer Research, 77 Massachusetts Avenue, Cambridge, MA 02139, USA Broad Institute, Cambridge, MA 02142, USA yoavsh@ekmd.huji.ac.il.
Bingbing YuanWhitehead Institute for Biomedical Research, Nine Cambridge Center, Cambridge, MA 02142, USA.
Prathapan ThiruWhitehead Institute for Biomedical Research, Nine Cambridge Center, Cambridge, MA 02142, USA.
Andy Nutter-UphamWhitehead Institute for Biomedical Research, Nine Cambridge Center, Cambridge, MA 02142, USA.
Scott McCallumWhitehead Institute for Biomedical Research, Nine Cambridge Center, Cambridge, MA 02142, USA.
Carolyn LanzkronWhitehead Institute for Biomedical Research, Nine Cambridge Center, Cambridge, MA 02142, USA Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
George W BellWhitehead Institute for Biomedical Research, Nine Cambridge Center, Cambridge, MA 02142, USA.
David M SabatiniWhitehead Institute for Biomedical Research, Nine Cambridge Center, Cambridge, MA 02142, USA Koch Institute for Integrative Cancer Research, 77 Massachusetts Avenue, Cambridge, MA 02139, USA Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA Howard Hughes Medical Institute, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA Broad Institute, Cambridge, MA 02142, USA sabatini@wi.mit.edu.

Funding

Regulation of the mTOR Pathway By NutrientsR01CA103866 · NCI · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI WEISSMAN, JONATHAN S. · 2004 to 2021
$7.0M
TRANSLATIONAL CONTROL BY RAPAMYCIN-SENSITIVE SIGNALINGR01AI047389 · NIAID · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI WEISSMAN, JONATHAN S. · 2000 to 2021
$4.9M
Novel Components of the mTORC1 and mTORC2 PathwaysR37AI047389 · NIAID · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI SABATINI, DAVID M. · 2010 to 2019
$4.8M
Howard Hughes Medical InstituteNCI NIH HHS CA103866NCI NIH HHS R01 CA103866NIAID NIH HHS AI47389NIAID NIH HHS R37 AI047389
6 · The paper itself

Abstract

The oncogenic transformation of normal cells into malignant, rapidly proliferating cells requires major alterations in cell physiology. For example, the transformed cells remodel their metabolic processes to supply the additional demand for cellular building blocks. We have recently demonstrated essential metabolic processes in tumor progression through the development of a methodological analysis of gene expression. Here, we present the Metabolic gEne RApid Visualizer (MERAV, http://merav.wi.mit.edu), a web-based tool that can query a database comprising ∼4300 microarrays, representing human gene expression in normal tissues, cancer cell lines and primary tumors. MERAV has been designed as a powerful tool for whole genome analysis which offers multiple advantages: one can search many genes in parallel; compare gene expression among different tissue types as well as between normal and cancer cells; download raw data; and generate heatmaps; and finally, use its internal statistical tool. Most importantly, MERAV has been designed as a unique tool for analyzing metabolic processes as it includes matrixes specifically focused on metabolic genes and is linked to the Kyoto Encyclopedia of Genes and Genomes pathway search.

Indexed as

Databases, GeneticGene Expression ProfilingSoftwareCell LineCell Line, TumorHumansInternetMetabolic Networks and PathwaysNeoplasmsOligonucleotide Array Sequence Analysis

Identifiers

PMID26626150
PMCPMC4702927

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.