Evidence map›Paper›PMID 26694548›Full record

ArticlePloS one2015

The Urinary Bladder Transcriptome and Proteome Defined by Transcriptomics and Antibody-Based Profiling.

Masato Habuka, Linn Fagerberg, Björn M Hallström, Fredrik Pontén, Tadashi Yamamoto, Mathias Uhlen

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

22 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. UroPathogenicFrontiers in microbiology · 2017
    Review
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

6 authors at 4 institutions in 2 countries.

Masato HabukaScience for Life Laboratory, KTH - Royal Institute of Technology, SE-171 21, Stockholm, Sweden.
Linn FagerbergScience for Life Laboratory, KTH - Royal Institute of Technology, SE-171 21, Stockholm, Sweden.
Björn M HallströmScience for Life Laboratory, KTH - Royal Institute of Technology, SE-171 21, Stockholm, Sweden.
Fredrik PonténDepartment of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, SE-751 85, Uppsala, Sweden.
Tadashi YamamotoDepartment of Structural Pathology, Institute of Nephrology, Medical and Dental School, Niigata University, 1-757, Asahimachi-dori Niigata, 951-8510, Japan.
Mathias UhlenScience for Life Laboratory, KTH - Royal Institute of Technology, SE-171 21, Stockholm, Sweden.
KTH Royal Institute of Technology · SENiigata University Medical and Dental Hospital · JPScience for Life Laboratory · SEUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To understand functions and diseases of urinary bladder, it is important to define its molecular constituents and their roles in urinary bladder biology. Here, we performed genome-wide deep RNA sequencing analysis of human urinary bladder samples and identified genes up-regulated in the urinary bladder by comparing the transcriptome data to those of all other major human tissue types. 90 protein-coding genes were elevated in the urinary bladder, either with enhanced expression uniquely in the urinary bladder or elevated expression together with at least one other tissue (group enriched). We further examined the localization of these proteins by immunohistochemistry and tissue microarrays and 20 of these 90 proteins were localized to the whole urothelium with a majority not yet described in the context of the urinary bladder. Four additional proteins were found specifically in the umbrella cells (Uroplakin 1a, 2, 3a, and 3b), and three in the intermediate/basal cells (KRT17, PCP4L1 and ATP1A4). 61 of the 90 elevated genes have not been previously described in the context of urinary bladder and the corresponding proteins are interesting targets for more in-depth studies. In summary, an integrated omics approach using transcriptomics and antibody-based profiling has been used to define a comprehensive list of proteins elevated in the urinary bladder.

Indexed as

AntibodiesGene Expression ProfilingGene Expression RegulationGenome-Wide Association StudyHumansOrgan SpecificityProteomicsSequence Analysis, RNATissue Array AnalysisUp-RegulationUrinary BladderUrotheliumAntibodies

Identifiers

PMID26694548
PMCPMC4687928
OpenAlexW2217801386

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.