ArticleGravitational and space research : publication of the American Society for Gravitational and Space Research2017
Validation of Methods to Assess the Immunoglobulin Gene Repertoire in Tissues Obtained from Mice on the International Space Station.
Article in Gravitational and space research : publication of the American Society for Gravitational and Space Research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
The trial behind it
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Who cites it
9 citing papers in PubMed, 27 citations in OpenAlex.
- Automated behavioral segmentation and markerless pose tracking of mice during spaceflight.bioRxiv : the preprint server for biology · 2026Article
- Hindlimb unloading, a physiological model of microgravity, modifies the murine bone marrow IgM repertoire in a similar manner as aging but less strongly.Immunity & ageing : I & A · 2023Article
- Similarity measurements of B cell receptor repertoire in baseline mice showed spectrum convergence of IgM.BMC immunology · 2022Article
- RNAseq Analysis of Rodent Spaceflight Experiments Is Confounded by Sample Collection Techniques.iScience · 2020Article
- A comparison of unamplified and massively multiplexed PCR amplification for murine antibody repertoire sequencing.FASEB bioAdvances · 2019Article
- Effects of skeletal unloading on the antibody repertoire of tetanus toxoid and/or CpG treated C57BL/6J mice.PloS one · 2019Article
- A comparison of unamplified and massively multiplexed PCR amplification for murine antibody repertoire sequencing.FASEB bioAdvances · 2019Article
- Effects of spaceflight on the immunoglobulin repertoire of unimmunized C57BL/6 mice.Life sciences in space research · 2018Article
- Characterization of the naive murine antibody repertoire using unamplified high-throughput sequencing.PloS one · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Spaceflight is known to affect immune cell populations. In particular, splenic B cell numbers decrease during spaceflight and in ground-based physiological models. Although antibody isotype changes have been assessed during and after space flight, an extensive characterization of the impact of spaceflight on antibody composition has not been conducted in mice. Next Generation Sequencing and bioinformatic tools are now available to assess antibody repertoires. We can now identify immunoglobulin gene- segment usage, junctional regions, and modifications that contribute to specificity and diversity. Due to limitations on the International Space Station, alternate sample collection and storage methods must be employed. Our group compared Illumina MiSeq sequencing data from multiple sample preparation methods in normal C57Bl/6J mice to validate that sample preparation and storage would not bias the outcome of antibody repertoire characterization. In this report, we also compared sequencing techniques and a bioinformatic workflow on the data output when we assessed the IgH and Igκ variable gene usage. This included assessments of our bioinformatic workflow on Illumina HiSeq and MiSeq datasets and is specifically designed to reduce bias, capture the most information from Ig sequences, and produce a data set that provides other data mining options. We validated our workflow by comparing our normal mouse MiSeq data to existing murine antibody repertoire studies validating it for future antibody repertoire studies.
Indexed as
Identifiers
29270444PMC5736159W2745509579What OpenQuestion holds
Registered trials
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.