Evidence map›Paper›PMID 42890172›Full record

ArticleFrontiers in immunology2026

replicateFest: an R package and shiny app for analysis of T cell receptor repertoire data from the functional expansion.

Ludmila Danilova, Alexander V Favorov, Kellie N Smith, Leslie Cope

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Ludmila DanilovaDepartment of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, United States.
Alexander V FavorovDepartment of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, United States.
Kellie N SmithDepartment of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, United States.
Leslie CopeDepartment of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, United States.

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
Treatment of HIV- and HIV+ Patients with HPV16+ CIN2/3 Using pNGLV4a-hCRTE6E7L2 DNA vaccine administered intramuscularly via electroporationP50CA098252 · NCI · JOHNS HOPKINS UNIVERSITY · PI Richard Bruce Roden · 2003 to 2026
$53.5M
Immunogenomic determinants of response and resistance to neoadjuvant anti-PD-1 in resectable NSCLCR37CA251447 · NCI · JOHNS HOPKINS UNIVERSITY · PI Kellie Nicole Smith · 2021 to 2026
$2.2M
Comprehensive Analysis and Multi-Omics Data Integration for Cancer-Related StudiesR50CA243627 · NCI · JOHNS HOPKINS UNIVERSITY · PI Ludmila Danilova · 2019 to 2026
$975k
NCI NIH HHS P30 CA006973NCI NIH HHS P50 CA098252NCI NIH HHS R37 CA251447NCI NIH HHS R50 CA243627
6 · The paper itself

Abstract

Motivation: The Functional Expansion of Specific T cell (FEST)-based assays combine short-term peptide stimulation with TCR sequencing to identify clonotypes that expand in response to specific antigens. These approaches have proven invaluable for detecting antigen-specific T cell responses, guiding vaccine development, and assessing checkpoint blockade efficacy. However, variability introduced by biological and technical replicates poses challenges for reproducibility and interpretation, and existing computational tools do not address replicate-level analysis in these assays. Results: We developed replicateFest, a computational framework implemented as an R package and Shiny web application, to analyze FEST-based TCR-seq data with and without replicates. replicateFest applies Fisher's exact test for non-replicate datasets and negative binomial modeling for replicate experiments, returning adjusted p-values and odds ratios to identify clonotypes significantly expanded in antigen-stimulated conditions. The framework distinguishes FEST-expanded clonotypes (relative to a no-antigen control) and FEST-positive clonotypes (expanded compared to all other conditions). Validation using

Indexed as

Computational BiologyReceptors, Antigen, T-CellSoftwareT-LymphocytesHumansReproducibility of ResultsReceptors, Antigen, T-Cellcancer immunotherapydata analyzefunctional expansionR packageT cell repertoire

Identifiers

PMID42890172
PMCPMC13672323

What OpenQuestion holds

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Registered trials

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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.