Single-Cell and Single-Embryo RNA Sequencing.

Bastien Ducreux, Lucile Ferreux, Julie Firmin, Catherine Patrat, Patricia Fauque

Abstract read

In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. 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

5 authors.

Bastien DucreuxUniversité de Paris Cité, Faculty of Medicine, INSERM 1016, Paris, France.ORCID http://orcid.org/0000-0001-8636-7361

Lucile FerreuxUniversité de Paris Cité, Faculty of Medicine, INSERM 1016, Paris, France.ORCID http://orcid.org/0000-0002-4822-9176

Julie FirminUniversité de Paris Cité, Faculty of Medicine, INSERM 1016, Paris, France.ORCID http://orcid.org/0000-0001-8269-7515

Catherine PatratUniversité de Paris Cité, Faculty of Medicine, INSERM 1016, Paris, France.ORCID http://orcid.org/0000-0003-4885-8885

Patricia FauqueUniversité de Paris Cité, Faculty of Medicine, INSERM 1016, Paris, France. pat.fauque@outlook.com.ORCID http://orcid.org/0000-0002-9708-1710

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The scarcity of available donated human embryos for research and technical difficulties present numerous challenges for human development research. Developments in RNA-seq technologies for small inputs, such as single embryos and single cells, now make human applications possible. This chapter outlines single-embryo RNA-seq, with adaptations noted for single-cell RNA-seq and single embryonic/abembryonic compartment applied to preimplantation embryo analysis, from embryo collection to bioinformatic data processing, and the specificities of applications of these techniques in reproductive biology.

Indexed as

Embryo, MammalianRNA-SeqSequence Analysis, RNASingle-Cell AnalysisAnimalsBlastocystComputational BiologyFemaleGene Expression ProfilingHumansSingle-Cell Gene Expression AnalysisInner cell massPreimplantation embryoSingle-cell RNA-seqSingle-embryo RNA-seqTranscriptomeTrophectoderm

Identifiers

PMID42681391

DOI10.1016/j.scib.2017.01.029

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.