Evidence map›Paper›PMID 40164324›Full record

ArticleExperimental hematology2025

Assessing the impact of cell isolation method on B cell gene expression using next-generation sequencing.

Amanda N Henning, Jordan Pardoe, Darryl Owusu-Ansah, Hong Lei, Kobe Robichaux, Lara Perinet, Samantha Muccilli, Steven L Highfill, Valeria De Giorgi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Experimental hematology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Amanda N HenningDepartment of Transfusion Medicine and Center for Cellular Engineering, Clinical Center, National Institutes of Health, Bethesda, MD.
Jordan PardoeDepartment of Transfusion Medicine and Center for Cellular Engineering, Clinical Center, National Institutes of Health, Bethesda, MD.
Darryl Owusu-AnsahDepartment of Transfusion Medicine and Center for Cellular Engineering, Clinical Center, National Institutes of Health, Bethesda, MD.
Hong LeiDepartment of Transfusion Medicine and Center for Cellular Engineering, Clinical Center, National Institutes of Health, Bethesda, MD.
Kobe RobichauxDepartment of Transfusion Medicine and Center for Cellular Engineering, Clinical Center, National Institutes of Health, Bethesda, MD.
Lara PerinetDepartment of Transfusion Medicine and Center for Cellular Engineering, Clinical Center, National Institutes of Health, Bethesda, MD.
Samantha MuccilliDepartment of Transfusion Medicine and Center for Cellular Engineering, Clinical Center, National Institutes of Health, Bethesda, MD.
Steven L HighfillDepartment of Transfusion Medicine and Center for Cellular Engineering, Clinical Center, National Institutes of Health, Bethesda, MD.
Valeria De GiorgiDepartment of Transfusion Medicine and Center for Cellular Engineering, Clinical Center, National Institutes of Health, Bethesda, MD. Electronic address: valeria.degiorgi@nih.gov.

Funding

HCV Infection and Innate ImmunityZIACL002121 · CLC · CLINICAL CENTER · PI DE GIORGI, VALERIA · 2009 to 2025
$0k
Intramural NIH HHS Z99 CL999999Intramural NIH HHS ZIA CL002121
6 · The paper itself

Abstract

Transcriptional profiling of peripheral blood mononuclear cells (PBMCs) is a widely explored research approach across multiple fields. Cell populations of interest are generally isolated before analysis, especially if low-frequency cell populations are desired. B cells, in particular, make up approximately 5%-10% of total PBMCs in healthy individuals, thus, isolation of B cell populations is crucial for researchers investigating B cell malignancies. The most widely used cell isolation methods include negative or positive magnetic cell sorting (MCS) and fluorescence-activated cell sorting (FACS). In contrast to negative MCS, it is widely believed that positive MCS and FACS may affect gene expression due to the direct interaction of cell selection antibodies with surface markers. To the best of our knowledge, no specific studies have examined these effects within CD19

Indexed as

B-LymphocytesCell SeparationGene Expression RegulationHigh-Throughput Nucleotide SequencingAntigens, CD19Flow CytometryGene Expression ProfilingHumansAntigens, CD19

Identifiers

PMID40164324
PMCPMC12167139

What Socratic 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 Socratic graph.