Evidence map›Paper›PMID 32824287›Full record

ArticleInternational journal of molecular sciences2020

A Two-Step Immunomagnetic Microbead-Based Method for the Isolation of Human Primary Skin Telocytes/CD34+ Stromal Cells.

Eloisa Romano, Irene Rosa, Bianca Saveria Fioretto, Elena Lucattelli, Marco Innocenti, Lidia Ibba-Manneschi, Marco Matucci-Cerinic, Mirko Manetti

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 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.0field-weighted citation impact, top 11% 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

26 citing papers in PubMed, 38 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Telocytes: An Emerging Component of Stem Cell Niche Microenvironment.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2021
    Review
  17. Scleroderma-like Impairment in the Network of Telocytes/CD34International journal of molecular sciences · 2021
    Article
  18. Review
  19. Article
  20. Article
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

8 authors at 2 institutions in 1 country.

Eloisa RomanoDepartment of Experimental and Clinical Medicine, Division of Rheumatology, University of Florence, 50134 Florence, Italy.
Irene RosaDepartment of Experimental and Clinical Medicine, Section of Anatomy and Histology, University of Florence, 50134 Florence, Italy.
Bianca Saveria FiorettoDepartment of Experimental and Clinical Medicine, Division of Rheumatology, University of Florence, 50134 Florence, Italy.ORCID 0000-0001-9275-7593
Elena LucattelliPlastic and Reconstructive Microsurgery, Careggi University Hospital, 50134 Florence, Italy.ORCID 0000-0002-1501-8022
Marco InnocentiPlastic and Reconstructive Microsurgery, Careggi University Hospital, 50134 Florence, Italy.
Lidia Ibba-ManneschiDepartment of Experimental and Clinical Medicine, Section of Anatomy and Histology, University of Florence, 50134 Florence, Italy.
Marco Matucci-CerinicDepartment of Experimental and Clinical Medicine, Division of Rheumatology, University of Florence, 50134 Florence, Italy.
Mirko ManettiDepartment of Experimental and Clinical Medicine, Section of Anatomy and Histology, University of Florence, 50134 Florence, Italy.ORCID 0000-0003-3956-8480
University of Florence · ITAzienda Ospedaliero-Universitaria Careggi · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Telocytes (TCs), commonly referred to as TCs/CD34+ stromal cells, are a peculiar type of interstitial cells with distinctive morphologic traits that are supposed to exert several biological functions, including tissue homeostasis regulation, cell-to-cell signaling, immune surveillance, and reparative/regenerative effects. At present, the majority of studies investigating these cells are mainly descriptive and focus only on their morphology, with a consequent paucity of functional data. To gain relevant insight into the possible functions of TCs, in vitro analyses are clearly required, but currently, the protocols for TC isolation are only at the early stages and not fully standardized. In the present in vitro study, we describe a novel methodology for the purification of human primary skin TCs through a two-step immunomagnetic microbead-based cell separation (i.e., negative selection for CD31 followed by positive selection for CD34) capable of discriminating these cells from other connective tissue-resident cells on the basis of their different immunophenotypic features. Our experiments clearly demonstrated that the proposed method allows a selective purification of cells exhibiting the peculiar TC morphology. Isolated TCs displayed very long cytoplasmic extensions with a moniliform silhouette (telopodes) and presented an immunophenotypic profile (CD31-/CD34+/PDGFRα+/vimentin+) that unequivocally differentiates them from endothelial cells (CD31+/CD34+/PDGFRα-/vimentin+) and fibroblasts (CD31-/CD34-/PDGFRα+/vimentin+). This novel methodology for the isolation of TCs lays the groundwork for further research aimed at elucidating their functional properties and possible translational applications, especially in the field of regenerative medicine.

Indexed as

Antigens, CD34Cells, CulturedHumansImmunomagnetic SeparationMicrospheresPrimary Cell CultureSkinTelocytesAntigens, CD34CD34+ stromal cellscell isolationimmunomagnetic separationskintelocytes

Identifiers

PMID32824287
PMCPMC7461544
OpenAlexW3049571489

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.