Evidence map›Paper›PMID 38502482›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

hcHCR: High-Throughput Single-Cell Imaging of RNA in Human Primary Immune Cells.

Manasi Gadkari, Jing Sun, Adrian Carcamo, Iain Fraser, Luis M Franco, Gianluca Pegoraro

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. 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. 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

6 authors.

Manasi Gadkari *Functional Immunogenomics Section, NIAMS/NIH, Bethesda, MD, USA.
Jing Sun *Signaling Systems Section, Laboratory of Immune System Biology, NIAID/NIH, Bethesda, MD, USA.
Adrian CarcamoHigh-Throughput Imaging Facility (HiTIF), Center for Cancer Research (CCR), NCI/NIH, Bethesda, MD, USA.
Iain FraserSignaling Systems Section, Laboratory of Immune System Biology, NIAID/NIH, Bethesda, MD, USA.
Luis M FrancoFunctional Immunogenomics Section, NIAMS/NIH, Bethesda, MD, USA. luis.franco@nih.gov.
Gianluca PegoraroHigh-Throughput Imaging Facility (HiTIF), Center for Cancer Research (CCR), NCI/NIH, Bethesda, MD, USA. gianluca.pegoraro@nih.gov.

Funding

HiTIF Microscopy Core FacilityZICBC011567 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI PEGORARO, GIANLUCA · 2014 to 2025
$15.8M
RNAi Screening in Hematopoietic CellsZIAAI001106 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI FRASER, IAIN · 2009 to 2025
$12.4M
Analysis of Innate Immune Signaling NetworksZIAAI001107 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI FRASER, IAIN · 2009 to 2025
$11.9M
Integrative genomic analysis of the human response to glucocorticoidsZIAAR041213 · NIAMS · NATIONAL INSTITUTE OF ARTHRITIS AND MUSCULOSKELETAL AND SKIN DISEASES · PI FRANCO, LUIS · 2020 to 2025
$4.8M
Genomic Effects of Glucocorticoids in Patients with Systemic Lupus ErythematosusZIAAR041210 · NIAMS · NATIONAL INSTITUTE OF ARTHRITIS AND MUSCULOSKELETAL AND SKIN DISEASES · PI FRANCO, LUIS · 2020 to 2025
$2.7M
Integrative genomic analysis of the human response to glucocorticoidsZIAAI001191 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI FRANCO, LUIS M · 2014 to 2019
$2.3M
Intramural NIH HHS ZIA AI001107Intramural NIH HHS ZIA AI001191Intramural NIH HHS ZIA AR041213Intramural NIH HHS ZIC BC011567
6 · The paper itself

Abstract

Functional genomics and chemical screens can identify and characterize novel cellular factors regulating signaling networks and chemical tools to modulate their function for the treatment of disease. Screening methods have relied primarily on immortalized and/or transformed cancer cell lines, which can limit the generalization of results to more physiologically relevant systems. Most have also relied on immunofluorescence, or on stably expressed recombinant fluorescent proteins, to detect specific protein markers using high-content imaging readouts. In comparison, high-throughput methods to visualize and measure RNA species have been less explored. To address this, we have adapted an isothermal signal amplification chemistry for RNA FISH known as hybridization chain reaction (HCR) to an automated, high-content imaging assay format. We present a detailed protocol for this technique, which we have named high-content HCR (hcHCR). The protocol focuses on the measurement of changes in mRNA abundance at the single-cell level in human primary cells, but it can be applied to a variety of primary cell types and perturbing agents. We anticipate that hcHCR will be most suitable for low- to medium-throughput screening experiments in which changes in transcript abundance are the desired output measure.

Indexed as

Diagnostic ImagingRNAHumansNucleic Acid HybridizationRNA, MessengerSignal TransductionRNARNA, MessengerFluorescence microscopyFluorescent in situ hybridizationGene expressionHigh-content imagingImmunologyMethodsRNA

Identifiers

PMID38502482
PMCPMC11251460

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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.