Evidence map›Paper›PMID 25277458›Full record

ArticleBMC genomics2014

Transcriptome reconstruction and annotation of cynomolgus and African green monkey.

Albert Lee, Hossein Khiabanian, Jeffrey Kugelman, Oliver Elliott, Elyse Nagle, Guo-Yun Yu, Travis Warren, Gustavo Palacios, Raul Rabadan

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Albert Lee
Hossein Khiabanian
Jeffrey Kugelman
Oliver Elliott
Elyse Nagle
Guo-Yun Yu
Travis Warren
Gustavo Palacios
Raul RabadanDepartment of Biomedical Informatics, Columbia University College of Physicians and Surgeons, New York, New York, NY 10032, USA. rabadan@c2b2.columbia.edu.
Columbia University · USUnited States Army Medical Research Institute of Infectious Diseases · USUnited States Department of the Army · US

Funding

Training Program in Computational BiologyT32GM082797 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HONIG, BARRY H · 2008 to 2015
$1.4M
NIGMS NIH HHS T32 GM082797
6 · The paper itself

Abstract

backgroundNon-human primates (NHPs) and humans share major biological mechanisms, functions, and responses due to their close evolutionary relationship and, as such, provide ideal animal models to study human diseases. RNA expression in NHPs provides specific signatures that are informative of disease mechanisms and therapeutic modes of action. Unlike the human transcriptome, the transcriptomes of major NHP animal models are yet to be comprehensively annotated.

resultsIn this manuscript, employing deep RNA sequencing of seven tissue samples, we characterize the transcriptomes of two commonly used NHP animal models: Cynomolgus macaque (Macaca fascicularis) and African green monkey (Chlorocebus aethiops). We present the Multi-Species Annotation (MSA) pipeline that leverages well-annotated primate species and annotates 99.8% of reconstructed transcripts. We elucidate tissue-specific expression profiles and report 13 experimentally validated novel transcripts in these NHP animal models.

conclusionWe report comprehensively annotated transcriptomes of two non-human primates, which we have made publically available on a customized UCSC Genome Browser interface. The MSA pipeline is also freely available.

Indexed as

TranscriptomeAnimalsChlorocebus aethiopsComparative Genomic HybridizationExonsGene Expression ProfilingGenomeHigh-Throughput Nucleotide SequencingMacaca fascicularisMolecular Sequence AnnotationSequence Analysis, RNA

Identifiers

PMID25277458
PMCPMC4194418
OpenAlexW2105965053

What OpenQuestion holds

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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.