Evidence map›Paper›PMID 30166985›Full record

ArticleFrontiers in immunology2018

The CAIRR Pipeline for Submitting Standards-Compliant B and T Cell Receptor Repertoire Sequencing Studies to the National Center for Biotechnology Information Repositories.

Syed Ahmad Chan Bukhari, Martin J O'Connor, Marcos Martínez-Romero, Attila L Egyedi, Debra Willrett, John Graybeal, Mark A Musen, Florian Rubelt, Kei-Hoi Cheung, Steven H Kleinstein

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Data Sharing and Reuse: A Method by the AIRR Community.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. 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

10 authors at 2 institutions in 1 country.

Syed Ahmad Chan BukhariDepartment of Pathology, Yale School of Medicine, Yale University, New Haven, CT, United States.
Martin J O'ConnorStanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, United States.
Marcos Martínez-RomeroStanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, United States.
Attila L EgyediStanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, United States.
Debra WillrettStanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, United States.
John GraybealStanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, United States.
Mark A MusenStanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, United States.
Florian RubeltDepartment of Microbiology and Immunology, Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, United States.
Kei-Hoi CheungDepartment of Emergency Medicine, Yale School of Medicine, Yale University, New Haven, CT, United States.
Steven H KleinsteinDepartment of Pathology, Yale School of Medicine, Yale University, New Haven, CT, United States.
Stanford University · USYale University · US

Funding

Using a tonsil organoid system to probe conditions for the induction of protective antibody and T cell responses to influenza.U19AI057229 · NIAID · STANFORD UNIVERSITY · PI Mark Morris Davis · 2003 to 2026
$88.5M
TrainingU54AI117925 · NIAID · STANFORD UNIVERSITY · PI MUSEN, MARK A · 2014 to 2018
$12.9M
COMPUTATIONAL TOOLS FOR THE ANALYSIS OF HIGH-THROUGHPUT IMMUNOGLOBULIN SEQUENCING EXPERIMENTSR01AI104739 · NIAID · YALE UNIVERSITY · PI KLEINSTEIN, STEVEN H. · 2014 to 2022
$3.6M
NIAID NIH HHS R01 AI104739NIAID NIH HHS U19 AI057229NIAID NIH HHS U54 AI117925
6 · The paper itself

Abstract

The adaptation of high-throughput sequencing to the B cell receptor and T cell receptor has made it possible to characterize the adaptive immune receptor repertoire (AIRR) at unprecedented depth. These AIRR sequencing (AIRR-seq) studies offer tremendous potential to increase the understanding of adaptive immune responses in vaccinology, infectious disease, autoimmunity, and cancer. The increasingly wide application of AIRR-seq is leading to a critical mass of studies being deposited in the public domain, offering the possibility of novel scientific insights through secondary analyses and meta-analyses. However, effective sharing of these large-scale data remains a challenge. The AIRR community has proposed minimal information about adaptive immune receptor repertoire (MiAIRR), a standard for reporting AIRR-seq studies. The MiAIRR standard has been operationalized using the National Center for Biotechnology Information (NCBI) repositories. Submissions of AIRR-seq data to the NCBI repositories typically use a combination of web-based and flat-file templates and include only a minimal amount of terminology validation. As a result, AIRR-seq studies at the NCBI are often described using inconsistent terminologies, limiting scientists' ability to access, find, interoperate, and reuse the data sets. In order to improve metadata quality and ease submission of AIRR-seq studies to the NCBI, we have leveraged the software framework developed by the Center for Expanded Data Annotation and Retrieval (CEDAR), which develops technologies involving the use of data standards and ontologies to improve metadata quality. The resulting CEDAR-AIRR (CAIRR) pipeline enables data submitters to: (i) create web-based templates whose entries are controlled by ontology terms, (ii) generate and validate metadata, and (iii) submit the ontology-linked metadata and sequence files (FASTQ) to the NCBI BioProject, BioSample, and Sequence Read Archive databases. Overall, CAIRR provides a web-based metadata submission interface that supports compliance with the MiAIRR standard. This pipeline is available at http://cairr.miairr.org, and will facilitate the NCBI submission process and improve the metadata quality of AIRR-seq studies.

Indexed as

Databases, Nucleic AcidSoftwareComputational BiologyData MiningGene OntologyHumansMetadataReceptors, Antigen, B-CellReceptors, Antigen, T-CellReproducibility of ResultsUser-Computer InterfaceWorkflowReceptors, Antigen, B-CellReceptors, Antigen, T-CellantibodyB cell receptorimmune-repertoire sequencingNational Center for Biotechnology InformationontologyRep-seqT cell receptor

Identifiers

PMID30166985
PMCPMC6105692
OpenAlexW2885074900

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.