Evidence map›Paper›PMID 21514162›Full record

ReviewTrends in cell biology2011

Pre-mRNA splicing: where and when in the nucleus.

Joonhee Han, Ji Xiong, Dong Wang, Xiang-Dong Fu

Open access · greenAbstract readReview
In one paragraph

Review in Trends in cell biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed
7.5field-weighted citation impact, top 2% 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

93 citing papers in PubMed, 165 citations in OpenAlex.

  1. Article
  2. Allele-specific methylation, and InDels ofHorticulture research · 2026
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  18. Posttranscriptional Regulation by Proteins and Noncoding RNAs.Advances in experimental medicine and biology · 2024
    Article
  19. Review
  20. Article

33 more citing papers are in PubMed but not listed here.

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

4 authors at 1 institution in 2 countries.

Joonhee HanDepartment of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA 92093-0651, USA.
Ji Xiong
Dong Wang
Xiang-Dong Fu
University of California, San Diego · US

Funding

FUNCTION &REGULATION OF THE HUMAN SPLICING FACTOR SC35R01GM049369 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FU, XIANG-DONG · 1993 to 2018
$7.2M
Regulation of RNA metabolism and cell growth control by SR protein kinasesR01GM052872 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DOWDY, STEVEN F · 1996 to 2019
$5.4M
NIGMS NIH HHS GM049369NIGMS NIH HHS GM052872NIGMS NIH HHS R01 GM049369NIGMS NIH HHS R01 GM052872
6 · The paper itself

Abstract

Alternative splicing is a process to differentially link exon regions in a single precursor mRNA to produce two or more different mature mRNAs, a strategy frequently used by higher eukaryotic cells to increase proteome diversity and/or enable additional post-transcriptional control of gene expression. This process can take place either co-transcriptionally or post-transcriptionally. When and where RNA splicing takes place in the cell represents a central question of cell biology; co-transcriptional splicing allows functional integration of transcription and RNA processing machineries, and could allow them to modulate one another, whereas post-transcriptional splicing could facilitate coupling RNA splicing with downstream events such as RNA export to create additional layers for regulated gene expression. This review focuses on recent advances in co- and post-transcriptional RNA splicing and proposes a new paradigm that some specific coupling events contribute to genome organization in higher eukaryotic cells.

Indexed as

RNA SplicingAnimalsBiocatalysisCell NucleusGenomeHumansRNA PrecursorsTranscription, GeneticRNA Precursors

Identifiers

PMID21514162
PMCPMC6553873
OpenAlexW2021819115

What OpenQuestion holds

Textmetadata
LicenceTDM
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.