Evidence map›Paper›PMID 14757812›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2004

Genome annotation by high-throughput 5' RNA end determination.

Byung Joon Hwang, Hans-Michael Müller, Paul W Sternberg

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Methods and strategies for gene structure curation in WormBase.Database : the journal of biological databases and curation · 2011
    Article
  4. Article
  5. Article
  6. Article
  7. WormBase: new content and better access.Nucleic acids research · 2007
    Article
  8. Article
  9. WormBase: better software, richer content.Nucleic acids research · 2006
    Article
  10. 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

3 authors.

Byung Joon HwangHoward Hughes Medical Institute and Division of Biology, 156-29, California Institute of Technology, 1200 East California Boulevard, Pasadena, CA 91125, USA.
Hans-Michael Müller
Paul W Sternberg

Funding

5'-RNA End Determination and Cell-Specific GenomicsK22HG002907 · NHGRI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI HWANG, BYUNG J · 2003 to 2004
$324k
NHGRI NIH HHS K22 HG002907NHGRI NIH HHS K22 HG 02907-01
6 · The paper itself

Abstract

Complete gene identification and annotation, including alternative transcripts, remains a challenge in understanding genome organization. Such annotation can be achieved by a combination of computational analysis and experimental confirmation. Here, we describe a high-throughput technique, trans-spliced exon coupled RNA end determination (TEC-RED), that identifies 5' ends of expressed genes in nematodes. TEC-RED can distinguish coding regions from regulatory regions and identify genes as well as their alternative transcripts that have different 5' ends. Application of TEC-RED to approximately 10% of the Caenorhabditis elegans genome yielded tags 75% of which experimentally verified predicted 5'-RNA ends and 25% of which provided previously unknown information about 5'-RNA ends, including the identification of 99 previously unknown genes and 32 previously unknown operons. This technique will be applicable in any organisms that have a trans-splicing reaction from spliced leader RNA. We also describe an efficient sequential method for concatenating short sequence tags for any serial analysis of gene expression-like techniques.

Indexed as

GenomeAnimalsBase SequenceCaenorhabditis elegansDNA PrimersRNADNA PrimersRNA

Identifiers

PMID14757812
PMCPMC341809

What OpenQuestion holds

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Registered trials

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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.