Evidence map›Paper›PMID 34721421›Full record

ReviewFrontiers in immunology2021

Advanced Genomics-Based Approaches for Defining Allograft Rejection With Single Cell Resolution.

Tiffany Shi, Krishna Roskin, Brian M Baker, E Steve Woodle, David Hildeman

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Chimerism-Mediated Tolerance in Intestinal Transplantation.Gastroenterology clinics of North America · 2024
    Review
  3. Review
  4. Article
  5. Mesenchymal Stromal Cell Therapy in Lung Transplantation.Bioengineering (Basel, Switzerland) · 2023
    Review
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

5 authors at 3 institutions in 1 country.

Tiffany ShiDivision of Immunobiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.
Krishna RoskinDivision of Immunobiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.
Brian M BakerDepartment of Chemistry and Biochemistry and the Harper Cancer Research Institute, University of Notre Dame, Notre Dame, IN, United States.
E Steve WoodleDivision of Transplantation, Department of Surgery, University of Cincinnati College of Medicine, Cincinnati, OH, United States.
David HildemanDivision of Immunobiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.
Cincinnati Children's Hospital Medical Center · USUniversity of Cincinnati Medical Center · USUniversity of Notre Dame · US

Funding

Proteasome Targeting for Alloreactive Plasma CellsR01AI154932 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI ALLMAN, DAVID M, HILDEMAN, DAVID A · 2020 to 2025
$7.2M
Structural biophysics and molecular design in cellular immunityR35GM118166 · NIGMS · UNIVERSITY OF NOTRE DAME · PI BAKER, BRIAN M · 2016 to 2025
$4.4M
Single cell analysis of transplant rejectionR21AI142264 · NIAID · CINCINNATI CHILDRENS HOSP MED CTR · PI HILDEMAN, DAVID A · 2019 to 2020
$452k
NIAID NIH HHS R01 AI154932NIAID NIH HHS R21 AI142264NIGMS NIH HHS R35 GM118166
6 · The paper itself

Abstract

Solid organ transplant recipients require long-term immunosuppression for prevention of rejection. Calcineurin inhibitor (CNI)-based immunosuppressive regimens have remained the primary means for immunosuppression for four decades now, yet little is known about their effects on graft resident and infiltrating immune cell populations. Similarly, the understanding of rejection biology under specific types of immunosuppression remains to be defined. Furthermore, development of innovative, rationally designed targeted therapeutics for mitigating or preventing rejection requires a fundamental understanding of the immunobiology that underlies the rejection process. The established use of microarray technologies in transplantation has provided great insight into gene transcripts associated with allograft rejection but does not characterize rejection on a single cell level. Therefore, the development of novel genomics tools, such as single cell sequencing techniques, combined with powerful bioinformatics approaches, has enabled characterization of immune processes at the single cell level. This can provide profound insights into the rejection process, including identification of resident and infiltrating cell transcriptomes, cell-cell interactions, and T cell receptor α/β repertoires. In this review, we discuss genomic analysis techniques, including microarray, bulk RNAseq (bulkSeq), single-cell RNAseq (scRNAseq), and spatial transcriptomic (ST) techniques, including considerations of their benefits and limitations. Further, other techniques, such as chromatin analysis

Indexed as

Single-Cell AnalysisAllograftsAnimalsGene Expression ProfilingGenomicsGraft RejectionHumansSequence Analysis, RNAallograft rejectiongenomicssequencingsingle cell RNA seqtransplantation

Identifiers

PMID34721421
PMCPMC8551864
OpenAlexW3205722550

What Socratic 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 Socratic graph.