Evidence map›Paper›PMID 32387331›Full record

ReviewBiochimica et biophysica acta. Gene regulatory mechanisms2020

A survey of transcripts generated by spinal muscular atrophy genes.

Natalia N Singh, Eric W Ottesen, Ravindra N Singh

Open access · greenAbstract readReview
In one paragraph

Review in Biochimica et biophysica acta. Gene regulatory mechanisms, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

13 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Spinal muscular atrophy: Broad disease spectrum and sex-specific phenotypes.Biochimica et biophysica acta. Molecular basis of disease · 2021
    Review
  11. Review
  12. Review
  13. Review
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 at 1 institution in 1 country.

Natalia N SinghDepartment of Biomedical Science, Iowa State University, Ames, IA, 50011, United States of America.
Eric W OttesenDepartment of Biomedical Science, Iowa State University, Ames, IA, 50011, United States of America.
Ravindra N SinghDepartment of Biomedical Science, Iowa State University, Ames, IA, 50011, United States of America. Electronic address: singhr@iastate.edu.
Iowa State University · US

Funding

Splicing Regulation of Spinal Muscular Atrophy GenesR01NS055925 · NINDS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SINGH, RAVINDRA N · 2006 to 2023
$5.6M
NINDS NIH HHS R01 NS055925
6 · The paper itself

Abstract

Human Survival Motor Neuron (SMN) genes code for SMN, an essential multifunctional protein. Complete loss of SMN is embryonic lethal, while low levels of SMN lead to spinal muscular atrophy (SMA), a major genetic disease of children and infants. Reduced levels of SMN are associated with the abnormal development of heart, lung, muscle, gastro-intestinal system and testis. The SMN loci have been shown to generate a vast repertoire of transcripts, including linear, back- and trans-spliced RNAs as well as antisense long noncoding RNAs. However, functions of the majority of these transcripts remain unknown. Here we review the nature of RNAs generated from the SMN loci and discuss their potential functions in cellular metabolism.

Indexed as

Alu ElementsAnimalsHumansMicroRNAsMuscular Atrophy, SpinalRNA, CircularRNA, Long NoncodingSMN Complex ProteinsMicroRNAsRNA, CircularRNA, Long NoncodingSMN Complex ProteinsAlu elementsBacksplicingcircRNALong noncoding RNA and microRNASpinal muscular atrophy, SMASurvival motor neuron, SMN

Identifiers

PMID32387331
PMCPMC7302838
OpenAlexW3023813798

What OpenQuestion holds

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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.