Cited by 189Gene expression and cancer classificationGenomics and Phylogenetic StudiesSingle-cell and spatial transcriptomics

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

Open access
Li, Bin, Qing, Tao, Zhu, Jinhang, Wen, Zhuo, Yu, Ying, Fukumura, Ryutaro, Zheng, Yuanting, Gondo, Yoichi +1 more·2017·Scientific Reports

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.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41598-017-04520-z

Cites

49 of 49 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Li, B., Qing, T., Zhu, J., Wen, Z., Yu, Y., Fukumura, R., Zheng, Y., Gondo, Y., & Shi, L.
Affiliations
  • Fudan University (CN)
  • Sichuan University (CN)
  • RIKEN BioResource Research Center (JP)
Corresponding author
  • Zheng, Yuanting
  • Gondo, Yoichi
  • Shi, Leming
Venue
Scientific Reports
Published
2017-06-23
Volume
7
Issue
1
Pages
4200-4200
ISSN
2045-2322 (ISSN-L)
OpenAlex
W2644618666
Cited by
184
References
49
Citations by year
2026: 13 · 2025: 18 · 2024: 18 · 2023: 25 · 2022: 22 · 2021: 22 · 2020: 37 · 2019: 22 · 2018: 6 · 2017: 1
FWCI
7.38
Type
journal article
Language
en
Open access
Locations
  • Scientific Reports (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • National Natural Science Foundation of China (111 Project, B13016, 31671368, 31471239, 31601085, 31471239, 31671368)
  • Higher Education Discipline Innovation Project (B13016)
  • Japan Society for the Promotion of Science (16H06279, 17H00789, 25241016)
  • National Key Research and Development Program of China (2016YFC0901704)
  • National Supercomputing Center, Korea Institute of Science and Technology Information
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
Keywords
mouse transcriptome, tissue-specific gene expression, C57BL/6J mice, tissue-specific genes, housekeeping genes, non-coding RNA, liver transcriptome, tissue expression profiling
MeSH terms
Animals, Female, Male, Mice, Inbred C57BL, Organ Specificity, Sequence Analysis, RNA, Genes, Essential, Gene Expression Profiling, Transcriptome

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review