Evidence map›Paper›PMID 42814363›Full record

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

Gene Expression Analysis from Specific Root Cell Types.

Alessio Terenzi, Elena Salvi, Riccardo Di Mambro

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

3 authors.

Alessio Terenzi *Department of Biology, University of Pisa, via Luca Ghini 13, 56125, Pisa, Italy.
Elena Salvi *Department of Biology, University of Pisa, via Luca Ghini 13, 56125, Pisa, Italy.
Riccardo Di MambroDepartment of Biology, University of Pisa, via Luca Ghini 13, 56125, Pisa, Italy. riccardo.dimambro@unipi.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In plant roots, the diversity of tissues along the radial axis and of developmental stages along the longitudinal axis implies a highly dynamic and heterogeneous gene expression. Many master regulators of gene expression exhibit distinctive temporal expression patterns or are restricted to specific cell types, making whole-root molecular analyses insufficient to resolve their roles in developmental and physiological processes. Here, we report a protocol for fluorescence-activated cell sorting (FACS)-coupled RNA sequencing to analyze, reconstruct, and ultimately dissect the gene regulatory networks (GRNs) involved in root development and physiology, particularly well-suited for genes that are expressed transiently or in rare or restricted cell types. The method relies on selecting an appropriate cell-type-specific reporter line, which enables the isolation of labeled cells with high specificity and minimal contamination. Furthermore, we discuss the relative advantages of FACS-coupled RNA-seq compared with alternative gene-expression methodologies, including quantitative PCR (qPCR), bulk root RNA-seq, single-cell RNA-seq (scRNA-seq), and spatial transcriptomics, considering sensitivity, resolution, input requirements, and cost.

Indexed as

Gene Expression ProfilingGene Expression Regulation, PlantPlant RootsArabidopsisFlow CytometryGene Regulatory NetworksSingle-Cell Gene Expression AnalysisBulk RNA-sequencingCell-type-specific gene expressionDifferential gene expressionFluorescence-activated cell sorting (FACS)Plant root development

Identifiers

PMID42814363

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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.