Evidence map›Paper›PMID 36264989›Full record

ReviewMolecular reproduction and development2022

Single-cell RNA-sequencing of retrieved human oocytes and eggs in clinical practice and for human ovarian cell atlasing.

Jordan H Machlin, Ariella Shikanov

Abstract readReview
In one paragraph

Review in Molecular reproduction and development, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Cross-Species Insights intoAntioxidants (Basel, Switzerland) · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
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

2 authors.

Jordan H MachlinProgram in Cellular and Molecular Biology, University of Michigan, Ann Arbor, Michigan, USA.
Ariella ShikanovProgram in Cellular and Molecular Biology, University of Michigan, Ann Arbor, Michigan, USA.

Funding

CELLULAR AND MOLECULAR BIOLOGY AT MICHIGANT32GM007315 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PUTHENVEEDU, MANOJKUMAR A · 1985 to 2021
$12.8M
Engineering an immuno-isolating hydrogel for restoring ovarian endocrine functionR01HD104173 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SHIKANOV, ARIELLA · 2021 to 2025
$2.0M
A microphysiological engineered 3D system to the rescue of ovarian folliclesR01HD099402 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SHIKANOV, ARIELLA · 2020 to 2022
$1.1M
NICHD NIH HHS R01 HD099402NICHD NIH HHS R01 HD104173NIGMS NIH HHS T32 GM007315
6 · The paper itself

Abstract

With the advancement of single-cell separation techniques and high-throughput sequencing platforms, single-cell RNA-sequencing (scRNA-seq) has emerged as a vital technology for understanding tissue and organ systems at cellular resolution. Through transcriptional analysis, it is possible to characterize unique or rare cell types, interpret their interactions, and reveal novel functional states or shifts in developmental stages. As such, this technology is uniquely suited for studying the cells within the human ovary. The ovary is a cellularly heterogeneous organ that houses follicles, the reproductive and endocrine unit that consists of an oocyte surrounded by hormone-producing support cells, as well as many other cell populations constituting stroma, vasculature, lymphatic, and immune components. Here we review studies that have utilized scRNA-seq technology to analyze cells from healthy human ovaries and discuss the single-cell isolation techniques used. We identified two overarching applications for scRNA-seq in the human ovary. The first applies this technology to investigate transcriptional differences in oocytes/eggs from patients undergoing in vitro fertilization treatments to ultimately improve clinical outcomes. The second utilizes scRNA-seq for the pursuit of creating a comprehensive single-cell atlas of the human ovary. The knowledge gained from these studies underscores the importance of scRNA-seq technologies in unlocking a new biological understanding of the human ovary.

Indexed as

OocytesOvaryFemaleGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansRNASequence Analysis, RNARNAhuman ovarysingle-cell RNA-sequencingtranscriptomics

Identifiers

PMID36264989
PMCPMC9805491

What OpenQuestion holds

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LicenceCC BY
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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.