Evidence map›Paper›PMID 34755121›Full record

ArticleSTAR protocols2021

Detection, sorting, and immortalization of dual expresser lymphocytes from human peripheral blood samples.

Rizwan Ahmed, Kusuma Ananth, Zahra Omidian, Neha Majety, Hao Zhang, Abdel Rahim A Hamad

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in STAR protocols, 2021. 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
0.2field-weighted citation impact, top 53% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

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

6 authors at 1 institution in 1 country.

Rizwan AhmedDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Kusuma AnanthDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Zahra OmidianDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Neha MajetyDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Hao ZhangDepartment of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.
Abdel Rahim A HamadDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Johns Hopkins University · US

Funding

Mechanisms of Fas Ligand Control of Insulitis in Autoimmune DiabetesR01AI099027 · NIAID · JOHNS HOPKINS UNIVERSITY · PI HAMAD, ABDEL RAHIM · 2013 to 2017
$2.0M
NIAID NIH HHS R01 AI099027
6 · The paper itself

Abstract

This protocol describes how to identify Dual Expressers (DEs), a rare type of lymphocyte that co-expresses B-cell receptors and T-cell receptors, by flow cytometry using a cocktail of four antibodies. It also shows the subsequent gating strategy for detecting and sorting DEs and the generation of EBV-immortalized DE lymphoblastoid cell lines and clones for antibody production and cloning antigen receptors. Use of this protocol maximizes detection of DEs and minimizes inclusion of doublets. For complete details on the use and execution of this protocol, please refer to Ahmed et al. (2019).

Indexed as

LymphocytesAdolescentAdultAgedAged, 80 and overBlood CellsCell Culture TechniquesCell LineCentrifugation, Density GradientChildFemaleFlow CytometryHumansImmunohistochemistryMaleMiddle AgedReceptors, Antigen, B-CellReceptors, Antigen, T-CellAntibodyCell BiologyCell cultureCell isolationFlow Cytometry/Mass CytometryImmunology

Identifiers

PMID34755121
PMCPMC8564191
OpenAlexW3208631272

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.