Evidence map›Paper›PMID 31741261›Full record

ArticleMolecular biology reports2020

Analysis of ciliogenesis process in the bovine oviduct based on immunohistochemical classification.

Sayaka Ito, Yuki Yamamoto, Koji Kimura

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular biology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

7 citing papers in PubMed, 20 citations in OpenAlex.

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  6. Frontiers in cell and developmental biology · 2021
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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 2 institutions in 1 country.

Sayaka ItoLaboratory of Reproductive Physiology, Graduate School of Environmental and Life Science, Okayama University, 1-1-1, Tsushimanaka, Kita-Ku, Okayama, 700-8530, Japan.
Yuki YamamotoLaboratory of Reproductive Physiology, Graduate School of Environmental and Life Science, Okayama University, 1-1-1, Tsushimanaka, Kita-Ku, Okayama, 700-8530, Japan.
Koji KimuraLaboratory of Reproductive Physiology, Graduate School of Environmental and Life Science, Okayama University, 1-1-1, Tsushimanaka, Kita-Ku, Okayama, 700-8530, Japan. kimurak@okayama-u.ac.jp.ORCID http://orcid.org/0000-0002-6971-0305
Okayama University · JPOkayama University of Science · JP

Funding

Grant-in-Aid for JSPS Fellows 18J14047Japan Society for the Promotion of Science 17H05041
6 · The paper itself

Abstract

The oviductal epithelium is composed of ciliated and non-ciliated cells. The proportions of these cells change during the estrous cycle. However, the mechanism underlying this cyclic change in the cell proportions remains unclear. Our previous study indicated that ciliated cells are derived from non-ciliated cells. Here, we aimed to investigate the mechanism regulating the changes in the populations of ciliated and non-ciliated cells during the estrous cycle. To this end, we examined the numbers of cells that were positive for acetylated-α-tubulin (cilia marker), Ki67 (proliferation marker), PAX8 (non-ciliated cell marker), and FOXJ1 and MYB (ciliogenesis markers) in the epithelial cells at four different estrous stages (Stage I: days 1-4 after ovulation, Stage II: days 5-10, Stage III: days 11-17, and Stage IV: days 18-20) by immunohistochemistry. The oviductal epithelial cells expressed either FOXJ1 or PAX8. All the acetylated-α-tubulin

Indexed as

AnimalsCattleCell DifferentiationCiliaDNA-Binding ProteinsEpithelial CellsEpitheliumEstrusFemaleImmunohistochemistryOviductsTranscription FactorsDNA-Binding ProteinsTranscription FactorsBovineCiliogenesisEstrous cycleNon-ciliated cellsOviduct

Identifiers

PMID31741261
OpenAlexW2987958610

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.