Evidence map›Paper›PMID 30768832›Full record

ReviewAmerican journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons2019

Single cell immune profiling in transplantation research.

Lauren E Higdon, Steven Schaffert, Purvesh Khatri, Jonathan S Maltzman

Open access · bronzeAbstract readReview
In one paragraph

Review in American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Novel Technologies in Studying Brain Immune Response.Oxidative medicine and cellular longevity · 2021
    Review
  5. Review
  6. 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

4 authors at 2 institutions in 1 country.

Lauren E HigdonDepartment of Medicine/Nephrology, Stanford University, Palo Alto, California.ORCID 0000-0002-6470-6155
Steven SchaffertInstitute for Immunity, Transplantation and Infection, Stanford University, Stanford, California.
Purvesh KhatriInstitute for Immunity, Transplantation and Infection, Stanford University, Stanford, California.ORCID 0000-0002-4143-4708
Jonathan S MaltzmanDepartment of Medicine/Nephrology, Stanford University, Palo Alto, California.ORCID 0000-0001-5722-269X
Stanford University · USVA Palo Alto Health Care System · US

Funding

Using a tonsil organoid system to probe conditions for the induction of protective antibody and T cell responses to influenza.U19AI057229 · NIAID · STANFORD UNIVERSITY · PI Mark Morris Davis · 2003 to 2026
$88.5M
Translational Incubator CoreU19AI109662 · NIAID · STANFORD UNIVERSITY · PI GLENN, JEFFREY S · 2014 to 2019
$28.6M
Vaccination and infection: indicators of immunological health and responsivenessU19AI090019 · NIAID · STANFORD UNIVERSITY · PI DAVIS, MARK MORRIS · 2010 to 2015
$17.3M
Giant MagnetoResistive (GMR) Sensors for Measuring Influenza VaccineR01AI125197 · NIAID · STANFORD UNIVERSITY · PI UTZ, PAUL JOSEPH, WANG, SHAN X. · 2016 to 2021
$5.0M
TRAINING PROGRAM IN ACADEMIC NEPHROLOGYT32DK007357 · NIDDK · STANFORD UNIVERSITY · PI CHERTOW, GLENN MATTHEW · 1986 to 2022
$4.8M
Mentoring Patient-Oriented Clinical Investigators in NephrologyK24DK085446 · NIDDK · STANFORD UNIVERSITY · PI CHERTOW, GLENN MATTHEW · 2010 to 2022
$1.4M
NIAID NIH HHS R01 AI125197NIAID NIH HHS U19 AI057229NIAID NIH HHS U19 AI090019NIAID NIH HHS U19 AI109662NIDDK NIH HHS K24 DK085446NIDDK NIH HHS T32 DK007357
6 · The paper itself

Abstract

Recently developed single-cell profiling technologies hold promise to provide new insights including analysis of population heterogeneity and linkage of antigen receptors with gene expression. These technologies produce complex data sets that require knowledge of bioinformatics for appropriate analysis. In this minireview, we discuss several single-cell immune profiling technologies for gene and protein expression, including cytometry by time-of-flight, RNA sequencing, and antigen receptor sequencing, as well as key considerations for analysis that apply to each. Because of the critical importance of data analysis for high parameter single cell analysis, we discuss essential factors in analysis of these data, including quality control, quantification, examples of methods for high dimensional analysis, immune repertoire analysis, and preparation of analysis pipelines. We provide examples of, and suggestions for, application of these innovative methods to transplantation research.

Indexed as

AllograftsAnimalsBiopsyCell SeparationCluster AnalysisComputational BiologyFlow CytometryGene Expression ProfilingGenomicsHumansImmune SystemPhenotypeQuality ControlSequence Analysis, RNASingle-Cell AnalysisStochastic Processesbasic (laboratory) research/scienceflow cytometrygeneticsgenomicsimmunobiologyinformaticsmolecular biologytranslational research/science

Identifiers

PMID30768832
PMCPMC7032075
OpenAlexW2911637512

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.