Evidence map›Paper›PMID 38594373›Full record

ArticleScientific reports2024

An easy to use tool for the analysis of subcellular mRNA transcript colocalisation in smFISH data.

Calum Bentley-Abbot, Rhiannon Heslop, Chiara Pirillo, Praveena Chandrasegaran, Gail McConnell, Ed Roberts, Edward Hutchinson, Annette MacLeod

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 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
1.2field-weighted citation impact, top 22% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  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

8 authors at 4 institutions in 1 country.

Calum Bentley-AbbotWellcome Centre for Integrative Parasitology (WCIP), University of Glasgow, Glasgow, UK. c.bentley-abbot.1@research.gla.ac.uk.
Rhiannon HeslopWellcome Centre for Integrative Parasitology (WCIP), University of Glasgow, Glasgow, UK.
Chiara PirilloBeatson Institute for Cancer Research, Glasgow, UK.
Praveena ChandrasegaranWellcome Centre for Integrative Parasitology (WCIP), University of Glasgow, Glasgow, UK.
Gail McConnellDepartment of Physics, University of Strathclyde, Glasgow, UK.
Ed RobertsBeatson Institute for Cancer Research, Glasgow, UK.
Edward HutchinsonMRC-University of Glasgow Centre for Virus Research, University of Glasgow, Glasgow, UK.
Annette MacLeodWellcome Centre for Integrative Parasitology (WCIP), University of Glasgow, Glasgow, UK.
University of Glasgow · GBCancer Research UK Scotland Institute · GBMRC University of Glasgow Centre for Virus Research · GBUniversity of Strathclyde · GB

Funding

Biotechnology and Biological Sciences Research Council BB/P02565X/1Cancer Research UK A_BICR_1920_RobertsMedical Research Council MR/K015583/1Medical Research Council MR/V035789/1Wellcome TrustWellcome Trust 209511/Z/17/ZWellcome Trust 226861/Z/23/ZWellcome Trust 227095/Z/23/Z
6 · The paper itself

Abstract

Single molecule fluorescence in situ hybridisation (smFISH) has become a valuable tool to investigate the mRNA expression of single cells. However, it requires a considerable amount of programming expertise to use currently available open-source analytical software packages to extract and analyse quantitative data about transcript expression. Here, we present FISHtoFigure, a new software tool developed specifically for the analysis of mRNA abundance and co-expression in QuPath-quantified, multi-labelled smFISH data. FISHtoFigure facilitates the automated spatial analysis of transcripts of interest, allowing users to analyse populations of cells positive for specific combinations of mRNA targets without the need for computational image analysis expertise. As a proof of concept and to demonstrate the capabilities of this new research tool, we have validated FISHtoFigure in multiple biological systems. We used FISHtoFigure to identify an upregulation in the expression of Cd4 by T-cells in the spleens of mice infected with influenza A virus, before analysing more complex data showing crosstalk between microglia and regulatory B-cells in the brains of mice infected with Trypanosoma brucei brucei. These analyses demonstrate the ease of analysing cell expression profiles using FISHtoFigure and the value of this new tool in the field of smFISH data analysis.

Indexed as

Image Processing, Computer-AssistedSoftwareAnimalsIn Situ Hybridization, FluorescenceMiceRNA, MessengerUp-RegulationRNA, Messenger

Identifiers

PMID38594373
PMCPMC11004122
OpenAlexW4394622547

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.