Evidence map›Paper›PMID 30061115›Full record

ArticleGenome research2018

High resolution annotation of zebrafish transcriptome using long-read sequencing.

German Nudelman, Antonio Frasca, Brandon Kent, Kirsten C Sadler, Stuart C Sealfon, Martin J Walsh, Elena Zaslavsky

Abstract read
In one paragraph

Article in Genome research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Article
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  7. Transcriptome Analysis Reveals the Immunosuppression in Tiger Pufferfish (Animals : an open access journal from MDPI · 2024
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  14. Comparative Analysis of miRNA-mRNA Regulation in the Testes ofInternational journal of molecular sciences · 2023
    Article
  15. Article
  16. Article
  17. Dynamic Transcriptional Landscape of Grass Carp (International journal of molecular sciences · 2022
    Article
  18. Article
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  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

7 authors.

German Nudelman *Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA.
Antonio Frasca *Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA.
Brandon KentDepartment of Development and Regenerative Biology, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA.
Kirsten C SadlerProgram in Biology, New York University Abu Dhabi, Abu Dhabi, UAE.
Stuart C SealfonDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA.
Martin J WalshDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA.
Elena ZaslavskyDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA.ORCID 0000-0002-4828-7771

Funding

Project I: Immunity to Influenza in Primary Lung Epithelial CellsU19AI117873 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ZASLAVSKY, ELENA · 2015 to 2019
$8.6M
Role of Uhrf1 in Liver Development, Regeneration and CarciogenesisR01DK080789 · NIDDK · NEW YORK UNIVERSITY · PI Kirsten C Sadler Edepli · 2009 to 2026
$5.2M
Non-coding RNAs for Epigenetic Transcriptional Silencing in Prostate CancerR01CA154809 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI WALSH, MARTIN JOHN, ZHOU, MING-MING · 2011 to 2015
$2.5M
Chromatin Dynamics of the CFTR locusR01HL103967 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI WALSH, MARTIN JOHN · 2011 to 2014
$1.9M
NCI NIH HHS R01 CA154809NHLBI NIH HHS R01 HL103967NIAID NIH HHS U19 AI117873NIDDK NIH HHS R01 DK080789
6 · The paper itself

Abstract

With the emergence of zebrafish as an important model organism, a concerted effort has been made to study its transcriptome. This effort is limited, however, by gaps in zebrafish annotation, which are especially pronounced concerning transcripts dynamically expressed during zygotic genome activation (ZGA). To date, short-read sequencing has been the principal technology for zebrafish transcriptome annotation. In part because these sequence reads are too short for assembly methods to resolve the full complexity of the transcriptome, the current annotation is rudimentary. By providing direct observation of full-length transcripts, recently refined long-read sequencing platforms can dramatically improve annotation coverage and accuracy. Here, we leveraged the SMRT platform to study the transcriptome of zebrafish embryos before and after ZGA. Our analysis revealed additional novelty and complexity in the zebrafish transcriptome, identifying 2539 high-confidence novel transcripts that originated from previously unannotated loci and 1835 high-confidence new isoforms in previously annotated genes. We validated these findings using a suite of computational approaches including structural prediction, sequence homology, and functional conservation analyses, as well as by confirmatory transcript quantification with short-read sequencing data. Our analyses provided insight into new homologs and paralogs of functionally important proteins and noncoding RNAs, isoform switching occurrences, and different classes of novel splicing events. Several novel isoforms representing distinct splicing events were validated through PCR experiments, including the discovery and validation of a novel 8-kb transcript spanning multiple

Indexed as

Molecular Sequence AnnotationTranscriptomeAnimalsSequence Analysis, RNASequence Homology, Nucleic AcidZebrafish

Identifiers

PMID30061115
PMCPMC6120630

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.