Evidence map›Paper›PMID 33884369›Full record

ArticleNAR genomics and bioinformatics2021

Platypus: an open-access software for integrating lymphocyte single-cell immune repertoires with transcriptomes.

Alexander Yermanos, Andreas Agrafiotis, Raphael Kuhn, Damiano Robbiani, Josephine Yates, Chrysa Papadopoulou, Jiami Han, Ioana Sandu, Cédric Weber, Florian Bieberich and 5 more

Open access · goldAbstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

29 citing papers in PubMed, 51 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

15 authors at 2 institutions in 1 country.

Alexander YermanosDepartment of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.ORCID https://orcid.org/0000-0001-6238-0588
Andreas AgrafiotisDepartment of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.
Raphael KuhnDepartment of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.
Damiano RobbianiDepartment of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.
Josephine YatesDepartment of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.ORCID https://orcid.org/0000-0001-8346-4502
Chrysa PapadopoulouDepartment of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.ORCID https://orcid.org/0000-0002-3909-7378
Jiami HanDepartment of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.ORCID https://orcid.org/0000-0003-4795-1885
Ioana SanduInstitute of Microbiology, ETH Zurich, 8093 Zurich, Switzerland.
Cédric WeberDepartment of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.ORCID https://orcid.org/0000-0003-4802-8996
Florian BieberichDepartment of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.
Rodrigo Vazquez-LombardiDepartment of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.
Andreas DounasInstitute for Biomedical Engineering, University and ETH Zurich, 8092 Zurich, Switzerland.
Daniel NeumeierDepartment of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.
Annette OxeniusInstitute of Microbiology, ETH Zurich, 8093 Zurich, Switzerland.
Sai T ReddyDepartment of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.
ETH Zurich · CHUniversity of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput single-cell sequencing (scSeq) technologies are revolutionizing the ability to molecularly profile B and T lymphocytes by offering the opportunity to simultaneously obtain information on adaptive immune receptor repertoires (VDJ repertoires) and transcriptomes. An integrated quantification of immune repertoire parameters, such as germline gene usage, clonal expansion, somatic hypermutation and transcriptional states opens up new possibilities for the high-resolution analysis of lymphocytes and the inference of antigen-specificity. While multiple tools now exist to investigate gene expression profiles from scSeq of transcriptomes, there is a lack of software dedicated to single-cell immune repertoires. Here, we present Platypus, an open-source software platform providing a user-friendly interface to investigate B-cell receptor and T-cell receptor repertoires from scSeq experiments. Platypus provides a framework to automate and ease the analysis of single-cell immune repertoires while also incorporating transcriptional information involving unsupervised clustering, gene expression and gene ontology. To showcase the capabilities of Platypus, we use it to analyze and visualize single-cell immune repertoires and transcriptomes from B and T cells from convalescent COVID-19 patients, revealing unique insight into the repertoire features and transcriptional profiles of clonally expanded lymphocytes. Platypus will expedite progress by facilitating the analysis of single-cell immune repertoire and transcriptome sequencing.

Identifiers

PMID33884369
PMCPMC8046018
OpenAlexW3153637039

What OpenQuestion 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 OpenQuestion graph.