Evidence map›Paper›PMID 15805585›Full record

ArticleEndocrine2005

Structure and functional analysis of unclassified genes strongly expressed in human visceral adipose tissue.

Yi-Sheng Yang, Yun Lin, Hui-Min Yu, Huai-Dong Song, Xiao-Ying Li, Guang Ning, Jia-Lun Chen

Abstract read
PubMed Publisher
In one paragraph

Article in Endocrine, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 93% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 1 institution in 1 country.

Yi-Sheng YangShanghai Clinical Center for Endocrine & Metabolic Disease, Rui-Jin Hospital, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai Second Medical University, 197 Rui-Jin Road II, Shanghai, 200025, China. yangyisheng@yahoo.com
Yun Lin
Hui-Min Yu
Huai-Dong Song
Xiao-Ying Li
Guang Ning
Jia-Lun Chen
Shanghai Institute of Hematology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our previous work has described the gene expression patterns of human visceral adipose tissue (VAT) at the transcriptome level and reported that the strongly expressed genes in VAT showed an uneven distribution throughout the genome. The aim of the present work was to focus on the unclassified genes and known expressed sequence tags (ESTs) strongly expressed in VAT and analyze their structure and function with bioinformatics. Among the 400 ESTs strongly expressed in the VAT, 340 clones were classified into known genes through searching the latest Genbank database. Functional classification showed that 85 clones were unclassified known genes, and approx 90% of them were found to be expressed in adipose tissue for the first time. Among the 85 unclassified genes, only two share similarities in the coding sequences with all species examined, and six genes had so far no obvious similarity to any genes across different species. The protein products of 7 genes had putative signal peptide and 11 had transmembrane domains. The protein products of 39 genes had relative specific motifs or prosites on primary structure. In silico Northern blot showed that 21 known ESTs were abundantly specifically expressed in adipose tissue, which may provide clues to identify novel genes closely related to adipocyte function with potential pathophysiological implications.

Indexed as

Expressed Sequence TagsAbdomenAdipocytesAdipose TissueBlotting, NorthernComputational BiologyFemaleGene ExpressionGenesHumansMaleMiddle AgedOligonucleotide Array Sequence AnalysisReverse Transcriptase Polymerase Chain ReactionRNARNA

Identifiers

PMID15805585
OpenAlexW1973911292

What OpenQuestion holds

Textmetadata
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.