Evidence map›Paper›PMID 20223836›Full record

ArticleBioinformatics (Oxford, England)2010

TiSGeD: a database for tissue-specific genes.

Sheng-Jian Xiao, Chi Zhang, Quan Zou, Zhi-Liang Ji

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 1 pooled it
–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

86 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Genetic and Cortical Cell-Type Liability Architecture of Autism.bioRxiv : the preprint server for biology · 2025
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26 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

4 authors.

Sheng-Jian XiaoKey Laboratory for Cell Biology and Tumor Cell Engineering, the Ministry of Education of China, School of Life Sciences, Fujian, P R China.
Chi Zhang
Quan Zou
Zhi-Liang Ji

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledThe tissue-specific genes are a group of genes whose function and expression are preferred in one or several tissues/cell types. Identification of these genes helps better understanding of tissue-gene relationship, etiology and discovery of novel tissue-specific drug targets. In this study, a statistical method is introduced to detect tissue-specific genes from more than 123 125 gene expression profiles over 107 human tissues, 67 mouse tissues and 30 rat tissues. As a result, a novel subject-specialized repository, namely the tissue-specific genes database (TiSGeD), is developed to represent the analyzed results. Auxiliary information of tissue-specific genes was also collected from biomedical literatures. AVAILABILITY: http://bioinf.xmu.edu.cn/databases/TiSGeD/index.html.

Indexed as

AlgorithmsAnimalsComputational BiologyDatabases, GeneticExpressed Sequence TagsGene Expression ProfilingHumansMiceModels, GeneticModels, StatisticalOligonucleotide Array Sequence AnalysisRats

Identifiers

PMID20223836
PMCPMC2859128

What OpenQuestion holds

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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.