Evidence map›Paper›PMID 33986545›Full record

ArticleNature methods2021

TRUST4: immune repertoire reconstruction from bulk and single-cell RNA-seq data.

Li Song, David Cohen, Zhangyi Ouyang, Yang Cao, Xihao Hu, X Shirley Liu

Abstract read
In one paragraph

Article in Nature methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 223 papers.

0numbers the graph read from it
0cells of the map it votes in
223citing papers in PubMed
–field-weighted citation impact
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

223 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. Article
  9. Article
  10. Article
  11. Abundant CD8British journal of cancer · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Immune Spatial Organization Predicts Distant Metastasis Risk in Aggressive Localized Prostate Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  18. Article
  19. Article
  20. Article

163 more citing papers are in PubMed but not listed here.

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

6 authors.

Li SongDepartment of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA.
David CohenDepartment of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA.
Zhangyi OuyangDepartment of Biotechnology, Beijing Institue of Radiation Medicine, Beijing, China.ORCID http://orcid.org/0000-0002-9905-9832
Yang CaoCollege of Life Sciences, Sichuan University, Chengdu, China.
Xihao HuDepartment of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA.
X Shirley LiuDepartment of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA. xsliu@ds.dfci.harvard.edu.ORCID http://orcid.org/0000-0003-4736-7339

Funding

Cancer Immunologic Data Commons (CIDC) Supplement RequestU24CA224316 · NCI · DANA-FARBER CANCER INST · PI CERAMI, ETHAN, MICHOR, FRANZISKA · 2017 to 2022
$6.8M
Bioinformatics Technology to Characterize Tumor Infiltrating Immune RepertoiresU01CA226196 · NCI · DANA-FARBER CANCER INST · PI LI, HENG · 2018 to 2020
$1.3M
NCI NIH HHS U01 CA226196NCI NIH HHS U24 CA224316
6 · The paper itself

Abstract

We introduce the TRUST4 open-source algorithm for reconstruction of immune receptor repertoires in αβ/γδ T cells and B cells from RNA-sequencing (RNA-seq) data. Compared with competing methods, TRUST4 supports both FASTQ and BAM format and is faster and more sensitive in assembling longer-even full-length-receptor repertoires. TRUST4 can also call repertoire sequences from single-cell RNA-seq (scRNA-seq) data without V(D)J enrichment, and is compatible with both SMART-seq and 5' 10x Genomics platforms.

Indexed as

AlgorithmsReceptors, Antigen, B-CellReceptors, Antigen, T-CellReceptors, ImmunologicSequence Analysis, RNASingle-Cell AnalysisV(D)J RecombinationReceptors, Antigen, B-CellReceptors, Antigen, T-CellReceptors, Immunologic

Identifiers

PMID33986545
PMCPMC9328942

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.