Evidence map›Paper›PMID 19581486›Full record

ArticleGenome research2009

Transcriptional and post-transcriptional profile of human chromosome 21.

Sergey I Nikolaev, Samuel Deutsch, Raphael Genolet, Christelle Borel, Leila Parand, Catherine Ucla, Frederic Schütz, Genevieve Duriaux Sail, Yann Dupré, Pascale Jaquier-Gubler and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

16 authors at 2 institutions in 1 country.

Sergey I NikolaevDepartment of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland.
Samuel Deutsch
Raphael Genolet
Christelle Borel
Leila Parand
Catherine Ucla
Frederic Schütz
Genevieve Duriaux Sail
Yann Dupré
Pascale Jaquier-Gubler
Tanguy Araud
Beatrice Conne
Patrick Descombes
Jean-Dominique Vassalli
Joseph Curran
Stylianos E Antonarakis
University of Geneva · CHSIB Swiss Institute of Bioinformatics · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies have demonstrated extensive transcriptional activity across the human genome, a substantial fraction of which is not associated with any functional annotation. However, very little is known regarding the post-transcriptional processes that operate within the different classes of RNA molecules. To characterize the post-transcriptional properties of expressed sequences from human chromosome 21 (HSA21), we separated RNA molecules from three cell lines (GM06990, HeLa S3, and SK-N-AS) according to their ribosome content by sucrose gradient fractionation. Polyribosomal-associated RNA and total RNA were subsequently hybridized to genomic tiling arrays. We found that approximately 50% of the transcriptional signals were located outside of annotated exons and were considered as TARs (transcriptionally active regions). Although TARs were observed among polysome-associated RNAs, RT-PCR and RACE experiments revealed that approximately 40% were likely to represent nonspecific cross-hybridization artifacts. Bioinformatics discrimination of TARs according to conservation and sequence complexity allowed us to identify a set of high-confidence TARs. This set of TARs was significantly depleted in the polysomes, suggesting that it was not likely to be involved in translation. Analysis of polysome representation of RefSeq exons showed that at least 15% of RefSeq transcripts undergo significant post-transcriptional regulation in at least two of the three cell lines tested. Among the regulated transcripts, enrichment analysis revealed an over-representation of genes involved in Alzheimer's disease (AD), including APP and the BACE1 protease that cleaves APP to produce the pathogenic beta 42 peptide. We demonstrate that the combination of RNA fractionation and tiling arrays is a powerful method to assess the transcriptional and post-transcriptional properties of genomic regions.

Indexed as

Gene Expression Profiling5' Untranslated RegionsCell FractionationCell Line, TransformedCell Line, TumorCentrifugation, Density GradientChromosomes, Human, Pair 21GenomicsHeLa CellsHumansOligonucleotide Array Sequence AnalysisPolyribosomesReproducibility of ResultsReverse Transcriptase Polymerase Chain ReactionRNATranscription, Genetic5' Untranslated RegionsRNA

Identifiers

PMID19581486
PMCPMC2720192
OpenAlexW2080234431

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.