Evidence map›Paper›PMID 26531823›Full record

ArticleNucleic acids research2016

A dynamic intron retention program enriched in RNA processing genes regulates gene expression during terminal erythropoiesis.

Harold Pimentel, Marilyn Parra, Sherry L Gee, Narla Mohandas, Lior Pachter, John G Conboy

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 127 papers.

0numbers the graph read from it
0cells of the map it votes in
127citing papers in PubMed
9.3field-weighted citation impact, top 1% 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

127 citing papers in PubMed, 203 citations in OpenAlex.

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  18. CLK2 Condensates Reorganize Nuclear Speckles and Induce Intron Retention.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
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67 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

6 authors at 3 institutions in 1 country.

Harold PimentelDepartment of Computer Science, University of California, Berkeley, CA 94720, USA.
Marilyn ParraBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Sherry L GeeBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Narla MohandasRed Cell Physiology Laboratory, New York Blood Center, New York, NY 10065, USA.
Lior PachterDepartment of Mathematics, University of California, Berkeley, CA 94720, USA Department of Molecular & Cell Biology, University of California, Berkeley, CA 94720, USA.
John G ConboyBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA jgconboy@lbl.gov.
Lawrence Berkeley National Laboratory · USUniversity of California, Berkeley · USNew York Blood Center · US

Funding

YEAST MEMBRANE CYTOSKELETONP01DK032094 · NIDDK · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI NARLA, MOHANDAS · 1987 to 2021
$26.7M
RED CELL DEFORMABILITY IN VITRO AND SURVIVAL IN VIVOR37DK026263 · NIDDK · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI NARLA, MOHANDAS · 1995 to 2017
$4.5M
Erythroid stage-specific transcriptome expression, dynamics, and regulationR01DK094699 · NIDDK · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI CONBOY, JOHN G, PACHTER, LIOR S · 2011 to 2015
$2.3M
RED CELL DEFORMABILITY IN VITRO AND SURVIVAL IN VIVOR01DK026263 · NIDDK · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI NARLA, MOHANDAS · 1986 to 2007
$1.6M
NIDDK NIH HHS DK094699NIDDK NIH HHS DK26263NIDDK NIH HHS DK32094NIDDK NIH HHS R01 DK094699NIDDK NIH HHS R37 DK026263
6 · The paper itself

Abstract

Differentiating erythroblasts execute a dynamic alternative splicing program shown here to include extensive and diverse intron retention (IR) events. Cluster analysis revealed hundreds of developmentally-dynamic introns that exhibit increased IR in mature erythroblasts, and are enriched in functions related to RNA processing such as SF3B1 spliceosomal factor. Distinct, developmentally-stable IR clusters are enriched in metal-ion binding functions and include mitoferrin genes SLC25A37 and SLC25A28 that are critical for iron homeostasis. Some IR transcripts are abundant, e.g. comprising ∼50% of highly-expressed SLC25A37 and SF3B1 transcripts in late erythroblasts, and thereby limiting functional mRNA levels. IR transcripts tested were predominantly nuclear-localized. Splice site strength correlated with IR among stable but not dynamic intron clusters, indicating distinct regulation of dynamically-increased IR in late erythroblasts. Retained introns were preferentially associated with alternative exons with premature termination codons (PTCs). High IR was observed in disease-causing genes including SF3B1 and the RNA binding protein FUS. Comparative studies demonstrated that the intron retention program in erythroblasts shares features with other tissues but ultimately is unique to erythropoiesis. We conclude that IR is a multi-dimensional set of processes that post-transcriptionally regulate diverse gene groups during normal erythropoiesis, misregulation of which could be responsible for human disease.

Indexed as

Gene Expression RegulationIntronsCation Transport ProteinsCell DifferentiationCell NucleusCells, CulturedCluster AnalysisCodon, NonsenseErythroblastsErythropoiesisExonsHumansMicrofilament ProteinsMitochondrial ProteinsNonsense Mediated mRNA DecayPhosphoproteinsCation Transport ProteinsCodon, NonsenseMICALL2 protein, humanMicrofilament ProteinsMitochondrial ProteinsPhosphoproteinsRibonucleoprotein, U2 Small NuclearRNA Splice SitesRNA Splicing FactorsSF3B1 protein, humanSLC25A28 protein, humanSlc25a37 protein, humanSpectrin

Identifiers

PMID26531823
PMCPMC4737145
OpenAlexW2268351591

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.