Evidence map›Paper›PMID 27557587›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2016

Isolation of Mammalian Oogonial Stem Cells by Antibody-Based Fluorescence-Activated Cell Sorting.

Deanna M Navaroli, Jonathan L Tilly, Dori C Woods

Open access · greenAbstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
8.8field-weighted citation impact, top 3% of its field
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

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
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  3. Review
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  8. Review
  9. Review
  10. Ovarian stem cells-resolving controversies.Journal of assisted reproduction and genetics · 2018
    Article
  11. Article
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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 at 1 institution in 1 country.

Deanna M NavaroliLaboratory of Aging and Infertility Research, Northeastern University, 360 Huntington Avenue, Boston, MA, 02115, USA.
Jonathan L TillyLaboratory of Aging and Infertility Research, Northeastern University, 360 Huntington Avenue, Boston, MA, 02115, USA. j.tilly@neu.edu.
Dori C WoodsLaboratory of Aging and Infertility Research, Northeastern University, 360 Huntington Avenue, Boston, MA, 02115, USA. d.woods@neu.edu.
Northeastern University · US

Funding

Origins and Functions of Mammalian Female Germline Stem CellsR01AG012279 · NIA · NORTHEASTERN UNIVERSITY · PI TILLY, JONATHAN LEE · 1995 to 2021
$2.7M
NIA NIH HHS R01 AG012279
6 · The paper itself

Abstract

The ability to isolate and subsequently culture mitotically active female germ cells from adult ovaries, referred to as either oogonial stem cells (OSCs) or adult female germline stem cells (aFGSCs), has provided a robust system to study female germ cell development under multiple experimental conditions, and in many species. Flow cytometry or fluorescence-activated cell sorting (FACS) is an integral part of many isolation and characterization protocols. Here, we provide methodological details for antibody-based flow cytometric isolation of OSCs using antibodies specific for external epitopes of the proteins Ddx4 or Ifitm3, alone or in combination with the use of fluorescent reporter mice. Beginning with sample preparation, we provide point-by-point instructions to guide researchers on how to isolate OSCs using flow cytometry.

Indexed as

Cell SeparationFlow CytometryAnimalsBiomarkersDEAD-box RNA HelicasesFemaleGerm CellsHumansImmunophenotypingMiceOvaryStem CellsBiomarkersDEAD-box RNA HelicasesFemale germline stem cellFlow cytometryOogonial stem cellOvary

Identifiers

PMID27557587
PMCPMC8802829
OpenAlexW2511709621

What OpenQuestion holds

Textmetadata
LicenceTDM
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.