Evidence map›Paper›PMID 30746468›Full record

ArticleScience advances2019

Multiplexed enrichment and genomic profiling of peripheral blood cells reveal subset-specific immune signatures.

Miguel Reyes, Dwayne Vickers, Kianna Billman, Thomas Eisenhaure, Paul Hoover, Edward P Browne, Deepak A Rao, Nir Hacohen, Paul C Blainey

Abstract read
In one paragraph

Article in Science advances, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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  14. Peripheral Blood-Based Biomarkers for Immune Checkpoint Inhibitors.International journal of molecular sciences · 2021
    Review
  15. Article
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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.

Miguel ReyesBroad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0003-2776-0862
Dwayne VickersBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Kianna BillmanBroad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0001-5675-3309
Thomas EisenhaureBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Paul HooverBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Edward P BrowneBroad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0001-9070-7015
Deepak A RaoDivision of Rheumatology, Immunology, Allergy, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.ORCID 0000-0001-9672-7746
Nir HacohenBroad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-2349-2656
Paul C BlaineyBroad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-4889-8783

Funding

Center for Cell CircuitsRM1HG006193 · NHGRI · BROAD INSTITUTE, INC. · PI BLAINEY, PAUL CLARK, HACOHEN, NIR · 2016 to 2020
$14.9M
Low-input multiplex isolation and profiling of human immune cell subsets using an integrated microfluidics deviceU24AI118668 · NIAID · BROAD INSTITUTE, INC. · PI HACOHEN, NIR · 2015 to 2019
$2.0M
NIAID NIH HHS U24 AI118668
6 · The paper itself

Abstract

Specialized immune cell subsets are involved in autoimmune disease, cancer immunity, and infectious disease through a diverse range of functions mediated by overlapping pathways and signals. However, subset-specific responses may not be detectable in analyses of whole blood samples, and no efficient approach for profiling cell subsets at high throughput from small samples is available. We present a low-input microfluidic system for sorting immune cells into subsets and profiling their gene expression. We validate the system's technical performance against standard subset isolation and library construction protocols and demonstrate the importance of subset-specific profiling through in vitro stimulation experiments. We show the ability of this integrated platform to identify subset-specific disease signatures by profiling four immune cell subsets in blood from patients with systemic lupus erythematosus (SLE) and matched control subjects. The platform has the potential to make multiplexed subset-specific analysis routine in many research laboratories and clinical settings.

Indexed as

LymphocytesMonocytesFlow CytometryHumansLipopolysaccharide ReceptorsLupus Erythematosus, SystemicMicrofluidicsRNA-SeqSingle-Cell AnalysisTranscriptomeCD14 protein, humanLipopolysaccharide Receptors

Identifiers

PMID30746468
PMCPMC6357748

What OpenQuestion holds

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Registered trials

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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.