Evidence map›Paper›PMID 42814334›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2027

Immunophenotyping by Spatial Biology.

Sandra Curras-Alonso, Yasmine Adimi, Clement Levin, Fabien Delahaye

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2027. 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
–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

0 citing papers in PubMed.

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

4 authors.

Sandra Curras-AlonsoTarget, Disease & Systems Biology, Research and Development, Sanofi, Vitry, France. Sandra.CURRAS-ALONSO@sanofi.com.
Yasmine AdimiLab Sciences, Translational Medicine Unit, Sanofi, Vitry, France.
Clement LevinLab Sciences, Translational Medicine Unit, Sanofi, Vitry, France.
Fabien DelahayeTarget, Disease & Systems Biology, Research and Development, Sanofi, Vitry, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studying the transcriptome and the proteome of cells is essential for gaining a detailed understanding of cellular behavior, development, drug action, and disease progression. Spatial biology emerges to advance our ability to study the expression of molecules within tissues while preserving their natural spatial context. These cutting-edge technologies enable the mapping of thousands of individual cells in their original environment by detecting the location and biological quantity of cellular contents, such as RNAs and proteins. Here, we present a protocol to combine spatial transcriptomics (Xenium) and spatial proteomics (PhenoCycler-Fusion) within 8 days on the same tissue section to successfully study the expression of hundreds of RNAs and tens of proteins simultaneously. The combination of these two technologies and consequent integration of the two data layers together with high-resolution H&E images allows for the extraction of a maximum of information from a single tissue section. Application of this protocol and the resulting integrated data will help researchers to understand complex biological processes and disease mechanisms, supporting more nuanced research in molecular biology and pathology.

Indexed as

ImmunophenotypingProteomicsAnimalsGene Expression ProfilingHumansProteomeRNASpatial TranscriptomicsTranscriptomeProteomeRNAData integrationImmunophenotypingProteinRNASpatial biologySpatial proteomicsSpatial transcriptomics

Identifiers

What OpenQuestion holds

Textmetadata
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.