Evidence map›Paper›PMID 25761531›Full record

ArticleImmunogenetics2015

Immunomics of the koala (Phascolarctos cinereus).

Kendra C Abts, Jamie A Ivy, J Andrew DeWoody

Abstract read
PubMed Publisher
In one paragraph

Article in Immunogenetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Koala retrovirus genetic diversity and transmission dynamics within captive koala populations.Proceedings of the National Academy of Sciences of the United States of America · 2021
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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

3 authors at 2 institutions in 2 countries.

Kendra C AbtsDepartment of Forestry and Natural Resources, Purdue University, 195 Marsteller St, West Lafayette, IN, 47907, USA, kabts@purdue.edu.
Jamie A Ivy
J Andrew DeWoody
Purdue University West Lafayette · USZoological Society of San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study of the koala transcriptome has the potential to advance our understanding of its immunome--immunological reaction of a given host to foreign antigens--and to help combat infectious diseases (e.g., chlamydiosis) that impede ongoing conservation efforts. We used Illumina sequencing of cDNA to characterize genes expressed in two different koala tissues of immunological importance, blood and spleen. We generated nearly 600 million raw sequence reads, and about 285 million of these were subsequently assembled and condensed into ~70,000 subcomponents that represent putative transcripts. We annotated ~16% of these subcomponents and identified those related to infection and the immune response, including Toll-like receptors (TLRs), RIG-I-like receptors (RLRs), major histocompatibility complex (MHC) genes, and koala retrovirus (KoRV). Using phylogenetic analyses, we identified 29 koala genes in these target categories and report their concordance with currently accepted gene groups. By mapping multiple sequencing reads to transcripts, we identified 56 putative SNPs in genes of interest. The distribution of these SNPs indicates that MHC genes (34 SNPs) are more diverse than KoRV (12 SNPs), TLRs (8 SNPs), or RLRs (2 SNPs). Our sequence data also indicate that KoRV sequences are highly expressed in the transcriptome. Our efforts have produced full-length sequences for potentially important immune genes in koala, which should serve as targets for future investigations that aim to conserve koala populations.

Indexed as

High-Throughput Nucleotide SequencingAnimalsDEAD-box RNA HelicasesGenomeMajor Histocompatibility ComplexMolecular Sequence AnnotationPhascolarctidaePhylogenyPolymorphism, Single NucleotideToll-Like ReceptorsDEAD-box RNA HelicasesToll-Like Receptors

Identifiers

PMID25761531
OpenAlexW2033865673

What Socratic holds

Textmetadata
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 Socratic graph.