Evidence map›Paper›PMID 16857706›Full record

ReviewThe Journal of physiology2006

The complexity of the mammalian transcriptome.

Stefano Gustincich, Albin Sandelin, Charles Plessy, Shintaro Katayama, Roberto Simone, Dejan Lazarevic, Yoshihide Hayashizaki, Piero Carninci

Abstract readReview
In one paragraph

Review in The Journal of physiology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

  1. Trial
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  6. The roles of glycolysis in osteosarcoma.Frontiers in pharmacology · 2022
    Review
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  8. Review
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  16. The Antisense Transcriptome and the Human Brain.Journal of molecular neuroscience : MN · 2016
    Review
  17. Article
  18. Article
  19. Article
  20. 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

8 authors.

Stefano GustincichSector of Neurobiology, International School for Advanced Studies (ISAS)-SISSA, AREA Science Park, SS 14, Km 163,5, Basovizza, 34012 Trieste, Italy. gustinci@sissa.it
Albin Sandelin
Charles Plessy
Shintaro Katayama
Roberto Simone
Dejan Lazarevic
Yoshihide Hayashizaki
Piero Carninci

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A comprehensive understanding of protein and regulatory networks is strictly dependent on the complete description of the transcriptome of cells. After the determination of the genome sequence of several mammalian species, gene identification is based on in silico predictions followed by evidence of transcription. Conservative estimates suggest that there are about 20,000 protein-encoding genes in the mammalian genome. In the last few years the combination of full-length cDNA cloning, cap-analysis gene expression (CAGE) tag sequencing and tiling arrays experiments have unveiled unexpected additional complexities in the transcriptome. Here we describe the current view of the mammalian transcriptome focusing on transcripts diversity, the growing non-coding RNA world, the organization of transcriptional units in the genome and promoter structures. In-depth analysis of the brain transcriptome has been challenging due to the cellular complexity of this organ. Here we present a computational analysis of CAGE data from different regions of the central nervous system, suggesting distinctive mechanisms of brain-specific transcription.

Indexed as

Alternative SplicingAnimalsBrainCloning, MolecularDNA, ComplementaryExpressed Sequence TagsGene Expression ProfilingGene Expression RegulationGenetic VariationGenomeGenomicsHumansMammalsProtein BiosynthesisRNATranscription, GeneticDNA, ComplementaryRNA

Identifiers

PMID16857706
PMCPMC1819450

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.