Evidence map›Paper›PMID 36087201›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Enriching and Characterizing T Cell Repertoires from 3' Barcoded Single-Cell Whole Transcriptome Amplification Products.

Tasneem Jivanjee, Samira Ibrahim, Sarah K Nyquist, G James Gatter, Joshua D Bromley, Swati Jaiswal, Bonnie Berger, Samuel M Behar, J Christopher Love, Alex K Shalek

Open access · greenAbstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. 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 4 institutions in 1 country.

Tasneem Jivanjee *Institute for Medical Engineering & Science and Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.
Samira Ibrahim *Institute for Medical Engineering & Science and Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.
Sarah K NyquistInstitute for Medical Engineering & Science and Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.
G James GatterInstitute for Medical Engineering & Science and Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.
Joshua D BromleyInstitute for Medical Engineering & Science and Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.
Swati JaiswalDepartment of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, MA, USA.
Bonnie BergerBroad Institute of MIT and Harvard, Cambridge, MA, Massachusetts Institute of Technology, Cambridge, MA, USA.
Samuel M BeharDepartment of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, MA, USA.
J Christopher LoveKoch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA. clove@mit.edu.
Alex K ShalekInstitute for Medical Engineering & Science and Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA. shalek@mit.edu.
Massachusetts Institute of Technology · USBroad Institute · USRagon Institute of MGH, MIT and Harvard · USUniversity of Massachusetts Chan Medical School · US

Funding

Graduate Training in Computational and Systems BiologyT32GM087237 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BURGE, CHRISTOPHER B · 2009 to 2023
$4.6M
Manifold representations and active learning for 21 st century biologyR35GM141861 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BERGER, BONNIE · 2021 to 2025
$1.9M
NIGMS NIH HHS R35 GM141861NIGMS NIH HHS T32 GM087237
6 · The paper itself

Abstract

Antigen-specific T cells play an essential role in immunoregulation and many diseases such as cancer. Characterizing the T cell receptor (TCR) sequences that encode T cell specificity is critical for elucidating the antigenic determinants of immunological diseases and designing therapeutic remedies. However, methods of obtaining single-cell TCR sequencing data are labor and cost intensive, typically requiring both cell sorting and full-length single-cell RNA-sequencing (scRNA-seq). New high-throughput 3' cell-barcoding scRNA-seq methods can simplify and scale this process; however, they do not routinely capture TCR sequences during library preparation and sequencing. While 5' cell-barcoding scRNA-seq methods can be used to examine TCR repertoire at single-cell resolution, doing so requires specialized reagents which cannot be applied to samples previously processed using 3' cell-barcoding methods.Here, we outline a method for sequencing TCRα and TCRβ transcripts from samples already processed using 3' cell-barcoding scRNA-seq platforms, ensuring TCR recovery at a single-cell resolution. In short, a fraction of the 3' barcoded whole transcriptome amplification (WTA) product typically used to generate a massively parallel 3' scRNA-seq library is enriched for TCR transcripts using biotinylated probes and further amplified using the same universal primer sequence from WTA. Primer extension using TCR V-region primers and targeted PCR amplification using a second universal primer result in a 3' barcoded single-cell CDR3-enriched library that can be sequenced with custom sequencing primers. Coupled with 3' scRNA-seq of the same WTA, this method enables simultaneous analysis of single-cell transcriptomes and TCR sequences which can help interpret inherent heterogeneity among antigen-specific T cells and salient disease biology. The method presented here can also be adapted readily to enrich and sequence other transcripts of interest from both 3' and 5' barcoded scRNA-seq WTA libraries.

Indexed as

T-LymphocytesTranscriptomeReceptors, Antigen, T-CellSequence Analysis, RNASingle-Cell AnalysisReceptors, Antigen, T-CellGene expressionscRNA-seqSeq-Well S3Single-cell RNA-sequencingSingle-cell TCR sequencingTargeted enrichmentT cell receptor repertoire profiling

Identifiers

PMID36087201
PMCPMC10283041
OpenAlexW4295430158

What OpenQuestion holds

Textmetadata
LicenceTDM
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.