Evidence map›Paper›PMID 17601345›Full record

ArticleBMC genomics2007

Discovering multiple transcripts of human hepatocytes using massively parallel signature sequencing (MPSS).

Jian Huang, Pei Hao, Yun-Li Zhang, Fu-Xing Deng, Qing Deng, Yi Hong, Xiao-Wo Wang, Yun Wang, Ting-Ting Li, Xue-Gong Zhang and 4 more

Abstract read
In one paragraph

Article in BMC genomics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

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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

9 citing papers in PubMed.

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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

14 authors.

Jian HuangDepartment of Chemistry of Fudan University & Shanghai-Ministry Key Laboratory of Disease and Health Genomics, Chinese National Human Genome Center at Shanghai, Shanghai, China. huangj@chgc.sh.cn <huangj@chgc.sh.cn>
Pei Hao
Yun-Li Zhang
Fu-Xing Deng
Qing Deng
Yi Hong
Xiao-Wo Wang
Yun Wang
Ting-Ting Li
Xue-Gong Zhang
Yi-Xue Li
Peng-Yuan Yang
Hong-Yang Wang
Ze-Guang Han

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe liver is the largest human internal organ--it is composed of multiple cell types and plays a vital role in fulfilling the body's metabolic needs and maintaining homeostasis. Of these cell types the hepatocytes, which account for three-quarters of the liver's volume, perform its main functions. To discover the molecular basis of hepatocyte function, we employed Massively Parallel Signature Sequencing (MPSS) to determine the transcriptomic profile of adult human hepatocytes obtained by laser capture microdissection (LCM).

results10,279 UniGene clusters, representing 7,475 known genes, were detected in human hepatocytes. In addition, 1,819 unique MPSS signatures matching the antisense strand of 1,605 non-redundant UniGene clusters (such as APOC1, APOC2, APOB and APOH) were highly expressed in hepatocytes.

conclusionApart from a large number of protein-coding genes, some of the antisense transcripts expressed in hepatocytes could play important roles in transcriptional interference via a cis-/trans-regulation mechanism. Our result provided a comprehensively transcriptomic atlas of human hepatocytes using MPSS technique, which could be served as an available resource for an in-depth understanding of human liver biology and diseases.

Indexed as

Gene Expression ProfilingGene Expression RegulationAmino Acid MotifsExpressed Sequence TagsGene LibraryGenetic TechniquesGenomicsHepatocytesHumansLiverModels, GeneticModels, StatisticalMultigene FamilyOligonucleotide Array Sequence AnalysisRNA, MessengerRNA, Messenger

Identifiers

PMID17601345
PMCPMC1929076

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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.