Evidence map›Paper›PMID 28646208›Full record

ArticleScientific reports2017

A Comprehensive Mouse Transcriptomic BodyMap across 17 Tissues by RNA-seq.

Bin Li, Tao Qing, Jinhang Zhu, Zhuo Wen, Ying Yu, Ryutaro Fukumura, Yuanting Zheng, Yoichi Gondo, Leming Shi

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 134 papers.

0numbers the graph read from it
0cells of the map it votes in
134citing papers in PubMed
9.4field-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

134 citing papers in PubMed, 207 citations in OpenAlex.

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  18. TSProm: Deciphering the Genomic Context of Tissue Specificity.bioRxiv : the preprint server for biology · 2025
    Article
  19. Article
  20. Article

74 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

9 authors at 3 institutions in 2 countries.

Bin LiCenter for Pharmacogenomics, School of Pharmacy, and State Key Laboratory of Genetic Engineering, School of Life Sciences and Shanghai Cancer Hospital/Cancer Institute, Fudan University, Shanghai, 200438, China.
Tao QingCenter for Pharmacogenomics, School of Pharmacy, and State Key Laboratory of Genetic Engineering, School of Life Sciences and Shanghai Cancer Hospital/Cancer Institute, Fudan University, Shanghai, 200438, China.
Jinhang ZhuCenter for Pharmacogenomics, School of Pharmacy, and State Key Laboratory of Genetic Engineering, School of Life Sciences and Shanghai Cancer Hospital/Cancer Institute, Fudan University, Shanghai, 200438, China.
Zhuo WenCenter for Pharmacogenomics, School of Pharmacy, and State Key Laboratory of Genetic Engineering, School of Life Sciences and Shanghai Cancer Hospital/Cancer Institute, Fudan University, Shanghai, 200438, China.
Ying YuCenter for Pharmacogenomics, School of Pharmacy, and State Key Laboratory of Genetic Engineering, School of Life Sciences and Shanghai Cancer Hospital/Cancer Institute, Fudan University, Shanghai, 200438, China.
Ryutaro FukumuraMutagenesis and Genomics Team, RIKEN BioResource Center, Tsukuba, Ibaraki, 305-0074, Japan.
Yuanting ZhengCenter for Pharmacogenomics, School of Pharmacy, and State Key Laboratory of Genetic Engineering, School of Life Sciences and Shanghai Cancer Hospital/Cancer Institute, Fudan University, Shanghai, 200438, China. yuantingzheng@fudan.edu.cn.
Yoichi GondoMutagenesis and Genomics Team, RIKEN BioResource Center, Tsukuba, Ibaraki, 305-0074, Japan. gondo@riken.jp.
Leming ShiCenter for Pharmacogenomics, School of Pharmacy, and State Key Laboratory of Genetic Engineering, School of Life Sciences and Shanghai Cancer Hospital/Cancer Institute, Fudan University, Shanghai, 200438, China. lemingshi@fudan.edu.cn.
Fudan University · CNRIKEN BioResource Research Center · JPState Key Laboratory of Genetic Engineering

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mouse has been widely used as a model organism for studying human diseases and for evaluating drug safety and efficacy. Many diseases and drug effects exhibit tissue specificity that may be reflected by tissue-specific gene-expression profiles. Here we construct a comprehensive mouse transcriptomic BodyMap across 17 tissues of six-weeks old C57BL/6JJcl mice using RNA-seq. We find different expression patterns between protein-coding and non-coding genes. Liver expressed the least complex transcriptomes, that is, the smallest number of genes detected in liver across all 17 tissues, whereas testis and ovary harbor more complex transcriptomes than other tissues. We report a comprehensive list of tissue-specific genes across 17 tissues, along with a list of 4,781 housekeeping genes in mouse. In addition, we propose a list of 27 consistently and highly expressed genes that can be used as reference controls in expression-profiling analysis. Our study provides a unique resource of mouse gene-expression profiles, which is helpful for further biomedical research.

Indexed as

Gene Expression ProfilingSequence Analysis, RNAAnimalsFemaleGenes, EssentialMaleMice, Inbred C57BLOrgan SpecificityTranscriptome

Identifiers

PMID28646208
PMCPMC5482823
OpenAlexW2644618666

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.