Evidence map›Paper›PMID 24956167›Full record

ArticlePloS one2014

Transcriptome profiling reveals higher vertebrate orthologous of intra-cytoplasmic pattern recognition receptors in grey bamboo shark.

Tirumurugaan Krishnaswamy Gopalan, Pradheepa Gururaj, Ravi Gupta, Dhinakar Raj Gopal, Preeti Rajesh, Balachandran Chidambaram, Aravindan Kalyanasundaram, Raja Angamuthu

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

9 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Review
  3. Exploration of the Nurse Shark (Frontiers in immunology · 2022
    Article
  4. Advances in aquatic animal RIG-I-like receptors.Fish and shellfish immunology reports · 2021
    Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. 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

8 authors at 3 institutions in 1 country.

Tirumurugaan Krishnaswamy GopalanDepartment of Animal Biotechnology and Translational Research Platform for Veterinary Biologicals, Tamil Nadu Veterinary and Animal Sciences University, Chennai, Tamil Nadu, India.
Pradheepa GururajDepartment of Animal Biotechnology, Tamil Nadu Veterinary and Animal Sciences University, Chennai, Tamil Nadu, India.
Ravi GuptaSciGenom Labs Pvt. Ltd., Kakkanad, Cochin, Kerala, India.
Dhinakar Raj GopalDepartment of Animal Biotechnology and Translational Research Platform for Veterinary Biologicals, Tamil Nadu Veterinary and Animal Sciences University, Chennai, Tamil Nadu, India.
Preeti RajeshSciGenom Labs Pvt. Ltd., Kakkanad, Cochin, Kerala, India.
Balachandran ChidambaramDepartment of Veterinary Pathology, Tamil Nadu Veterinary and Animal Sciences University, Chennai, Tamil Nadu, India.
Aravindan KalyanasundaramDepartment of Animal Biotechnology, Tamil Nadu Veterinary and Animal Sciences University, Chennai, Tamil Nadu, India.
Raja AngamuthuDepartment of Animal Biotechnology, Tamil Nadu Veterinary and Animal Sciences University, Chennai, Tamil Nadu, India.
Tamil Nadu Veterinary and Animal Sciences University · INSciGenom Labs (India) · INTranslational Research Platform for Veterinary Biologicals (India) · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

From an immunologist perspective, sharks are an important group of jawed cartilaginous fishes and survey of the public database revealed a great gap in availability of large-scale sequence data for the group of Chondrichthyans the elasmobranchs. In an attempt to bridge this deficit we generated the transcriptome from the spleen and kidney tissues (a total of 1,606,172 transcripts) of the shark, Chiloscyllium griseum using the Illumina HiSeq2000 platform. With a cut off of > = 300 bp and an expression value of >1RPKM we used 43,385 transcripts for BLASTX analysis which revealed 17,548 transcripts matching to the NCBI nr database with an E-value of < = 10(-5) and similarity score of 40%. The longest transcript was 16,974 bases with matched to HECT domain containing E3 ubiqutin protein ligase. MEGAN4 annotation pipeline revealed immune and signalling pathways including cell adhesion molecules, cytokine-cytokine receptor interaction, T-cell receptor signalling pathway and chemokine signaling pathway to be highly expressed in spleen, while different metabolism pathways such as amino acid metabolism, carbohydrate metabolism, lipid metabolism and xenobiotic biodegradation were highly expressed in kidney. Few of the candidate genes were selected to analyze their expression levels in various tissues by real-time PCR and also localization of a receptor by in-situ PCR to validate the prediction. We also predicted the domains structures of some of the identified pattern recognition receptors, their phylogenetic relationship with lower and higher vertebrates and the complete downstream signaling mediators of classical dsRNA signaling pathway. The generated transcriptome will be a valuable resource to further genetic and genomic research in elasmobranchs.

Indexed as

Gene Expression ProfilingAnimalsFish ProteinsReceptors, Pattern RecognitionSharksTranscriptomeFish ProteinsReceptors, Pattern Recognition

Identifiers

PMID24956167
PMCPMC4067322
OpenAlexW2077474284

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.