Evidence map›Paper›PMID 16956910›Full record

ArticleThe British journal of ophthalmology2007

Expression of haematopoietic stem cell markers, CD133 and CD34 on human corneal keratocytes.

G Perrella, P Brusini, R Spelat, P Hossain, A Hopkinson, H S Dua

Open access · bronzeAbstract read
In one paragraph

Article in The British journal of ophthalmology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

14 citing papers in PubMed, 39 citations in OpenAlex.

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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

6 authors at 3 institutions in 2 countries.

G PerrellaDepartment of Experimental and Clinical Pathology and Medicine, University of Udine. Ple SM Misericordia, Udine 33100, Italy. giuseppina.perrella@dpmsc.uniud.it
P Brusini
R Spelat
P Hossain
A Hopkinson
H S Dua
University of Udine · ITUniversity of Nottingham · GBUniversity of Southampton · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo study the expression of CD133 and CD34 antigens on cultured human keratocytes over time.

methodsPrimary cultures of human corneal stromal cells were established from explants derived from cadaver eye donors. The cultures were sorted for CD133+ and CD34+ cells using magnetic beads. Both the primary cultures and secondary passages of sorted cells were further analysed by flow cytometry and western blot analysis for expression of the same antigens over time.

resultsFour different cell populations-namely, CD133+, CD133-, CD34+ and CD34-, were identified in the culture samples. Two further specific subgroups were identified by flow cytometry: CD133+/CD34- cells and CD133+/CD34+ cells. Expression of CD133 declines more than CD34 with time in cell cultures. Although most cells lost expression of these markers, small populations retained staining up to 5 weeks in culture.

conclusionHuman keratocytes express the haematopoietic stem cell markers CD133 and CD34. This expression decreases with time in culture, with most but not all cells losing expression. On the basis of these markers, the corneal stroma shows a heterogeneous population of cells. Expression or down regulation of expression of these molecules could represent different stages of activation of these cells.

Indexed as

AC133 AntigenAntibodiesAntigens, CDAntigens, CD34BiomarkersCadaverCell ProliferationCells, CulturedCorneaFlow CytometryGlycoproteinsHematopoietic Stem CellsHumansPeptidesStromal CellsAC133 AntigenAntibodiesAntigens, CDAntigens, CD34BiomarkersGlycoproteinsPeptidesPROM1 protein, human

Identifiers

PMID16956910
PMCPMC1857557
OpenAlexW2085267811

What OpenQuestion holds

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Registered trials

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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.