Evidence map›Paper›PMID 38667182›Full record

ReviewBiosensors2024

Single-Cell RNA Sequencing in Organ and Cell Transplantation.

Roozbeh Abedini-Nassab, Fatemeh Taheri, Ali Emamgholizadeh, Hossein Naderi-Manesh

Open access · goldAbstract readReview
In one paragraph

Review in Biosensors, 2024. 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
1.6field-weighted citation impact, top 17% 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, 7 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

4 authors at 2 institutions in 1 country.

Roozbeh Abedini-NassabFaculty of Mechanical Engineering, Tarbiat Modares University, Tehran P.O. Box 1411944961, Iran.ORCID 0000-0002-0729-7770
Fatemeh TaheriBiomedical Engineering Department, University of Neyshabur, Neyshabur P.O. Box 9319774446, Iran.
Ali EmamgholizadehFaculty of Mechanical Engineering, Tarbiat Modares University, Tehran P.O. Box 1411944961, Iran.ORCID 0009-0008-6941-9797
Hossein Naderi-ManeshDepartment of Nanobiotechnology, Faculty of Bioscience, Tarbiat Modares University, Tehran P.O. Box 1411944961, Iran.ORCID 0000-0002-4227-171X
Tarbiat Modares University · IRUniversity of Neyshabur · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell RNA sequencing is a high-throughput novel method that provides transcriptional profiling of individual cells within biological samples. This method typically uses microfluidics systems to uncover the complex intercellular communication networks and biological pathways buried within highly heterogeneous cell populations in tissues. One important application of this technology sits in the fields of organ and stem cell transplantation, where complications such as graft rejection and other post-transplantation life-threatening issues may occur. In this review, we first focus on research in which single-cell RNA sequencing is used to study the transcriptional profile of transplanted tissues. This technology enables the analysis of the donor and recipient cells and identifies cell types and states associated with transplant complications and pathologies. We also review the use of single-cell RNA sequencing in stem cell implantation. This method enables studying the heterogeneity of normal and pathological stem cells and the heterogeneity in cell populations. With their remarkably rapid pace, the single-cell RNA sequencing methodologies will potentially result in breakthroughs in clinical transplantation in the coming years.

Indexed as

Cell TransplantationOrgan TransplantationSequence Analysis, RNAAnimalsHumansSingle-Cell Analysisbiomarkersmicrofluidicssingle-cell RNA sequencingtransplantation

Identifiers

PMID38667182
PMCPMC11048310
OpenAlexW4394719620

What OpenQuestion 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 OpenQuestion graph.