Evidence map›Paper›PMID 32471256›Full record

ArticleInternational journal of molecular sciences2020

Participation of Somatic Stem Cells, Labeled by a Unique Antibody (A3) Recognizing both N-glycan and Peptide, to Hair Follicle Cycle and Cutaneous Wound Healing in Rats.

Chisa Katou-Ichikawa, Hironobu Nishina, Miyuu Tanaka, Shigeo Takenaka, Takeshi Izawa, Mitsuru Kuwamura, Jyoji Yamate

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Healing Mechanisms in Cutaneous Wounds: Tipping the Balance.Tissue engineering. Part B, Reviews · 2022
    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

7 authors at 1 institution in 1 country.

Chisa Katou-IchikawaLaboratory of Veterinary Pathology, Osaka Prefecture University, Izumisano City, Osaka 598-0048, Japan.
Hironobu NishinaLaboratory of Veterinary Pathology, Osaka Prefecture University, Izumisano City, Osaka 598-0048, Japan.
Miyuu TanakaLaboratory of Veterinary Pathology, Osaka Prefecture University, Izumisano City, Osaka 598-0048, Japan.
Shigeo TakenakaDepartment of Clinical Nutrition, Osaka Prefecture University, Habikino City, Osaka 583-8555, Japan.
Takeshi IzawaLaboratory of Veterinary Pathology, Osaka Prefecture University, Izumisano City, Osaka 598-0048, Japan.
Mitsuru KuwamuraLaboratory of Veterinary Pathology, Osaka Prefecture University, Izumisano City, Osaka 598-0048, Japan.
Jyoji YamateLaboratory of Veterinary Pathology, Osaka Prefecture University, Izumisano City, Osaka 598-0048, Japan.
Osaka Prefecture University · JP

Funding

Japan Agency for Medical Research and Development 3P18 am 0101123Japan Society for the Promotion of Science 19H03130
6 · The paper itself

Abstract

A monoclonal antibody (A3) was generated by using rat malignant fibrous histiocytoma (MFH) cells as the antigen. Generally, MFH is considered to be a sarcoma derived from undifferentiated mesenchymal cells. Molecular biological analyses using the lysate of rat MFH cells revealed that A3 is a conformation specific antibody recognizing both

Indexed as

Re-EpithelializationAnimalsAntibodies, MonoclonalCell LineCell Line, TumorHair FollicleMaleMesenchymal Stem CellsPeptidesPolysaccharidesRatsRats, Inbred F344Antibodies, MonoclonalPeptidesPolysaccharidesantibodycutaneous wound healinghair follicle cycleN-glycansomatic stem cells

Identifiers

PMID32471256
PMCPMC7312608
OpenAlexW3032848137

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.