Evidence map›Paper›PMID 35980574›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Analysis of Single-Cell Transcriptome Data in Drosophila.

Schayan Yousefian, Maria Jelena Musillo, Josephine Bageritz

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Article in Methods in molecular biology (Clifton, N.J.), 2022. 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
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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.

Schayan YousefianBerlin Institute of Health (BIH) at Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0003-0902-0369
Maria Jelena MusilloCentre for Organismal Studies Heidelberg (COS), Universität Heidelberg, Heidelberg, Germany.
Josephine BageritzCentre for Organismal Studies Heidelberg (COS), Universität Heidelberg, Heidelberg, Germany. josephine.bageritz@cos.uni-heidelberg.de.ORCID 0000-0002-9531-0452

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fly Drosophila is a versatile model organism that has led to fascinating biological discoveries. In the past few years, Drosophila researchers have used single-cell RNA-sequencing (scRNA-seq) to gain insights into the cellular composition, and developmental processes of various tissues and organs. Given the success of single-cell technologies a variety of computational tools and software packages were developed to enable and facilitate the analysis of scRNA-seq data. In this book chapter we want to give guidance on analyzing droplet-based scRNA-seq data from Drosophila. We will initially describe the preprocessing commonly done for Drosophila, point out possible downstream analyses, and finally highlight computational methods developed using Drosophila scRNA-seq data.

Indexed as

Single-Cell AnalysisTranscriptomeAnimalsDrosophilaGene Expression ProfilingSequence Analysis, RNASoftwareComputational methodsData analysisDroplet basedDrosophilaSeuratSingle-cell RNA-seqSoftware packages

Identifiers

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.