Evidence map›Paper›PMID 34626063›Full record

ArticleJournal of cellular and molecular medicine2021

Role of HRTPT in kidney proximal epithelial cell regeneration: Integrative differential expression and pathway analyses using microarray and scRNA-seq.

Swojani Shrestha, Sonalika Singhal, Matthew Kalonick, Rachel Guyer, Alexis Volkert, Seema Somji, Scott H Garrett, Donald A Sens, Sandeep K Singhal

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2021. 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 40% 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, 8 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

9 authors at 1 institution in 1 country.

Swojani ShresthaDepartment of Pathology, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, North Dakota, USA.
Sonalika SinghalDepartment of Pathology, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, North Dakota, USA.
Matthew KalonickDepartment of Pathology, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, North Dakota, USA.
Rachel GuyerDepartment of Pathology, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, North Dakota, USA.
Alexis VolkertDepartment of Pathology, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, North Dakota, USA.
Seema SomjiDepartment of Pathology, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, North Dakota, USA.
Scott H GarrettDepartment of Pathology, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, North Dakota, USA.
Donald A SensDepartment of Pathology, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, North Dakota, USA.
Sandeep K SinghalDepartment of Pathology, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, North Dakota, USA.ORCID 0000-0002-3486-067X
University of North Dakota · US

Funding

Research CoresP20GM103442 · NIGMS · UNIVERSITY OF NORTH DAKOTA · PI Donald A. Sens · 2012 to 2026
$53.0M
Tracking and Evaluation CoreU54GM128729 · NIGMS · UNIVERSITY OF NORTH DAKOTA · PI BASSON, MARC D. · 2018 to 2022
$20.3M
NIGMS NIH HHS P20 GM103442NIGMS NIH HHS U54 GM128729NIGMS NIH HHS U54GM128729
6 · The paper itself

Abstract

Damage to proximal tubules due to exposure to toxicants can lead to conditions such as acute kidney injury (AKI), chronic kidney disease (CKD) and ultimately end-stage renal failure (ESRF). Studies have shown that kidney proximal epithelial cells can regenerate particularly after acute injury. In the previous study, we utilized an immortalized in vitro model of human renal proximal tubule epithelial cells, RPTEC/TERT1, to isolate HRTPT cell line that co-expresses stem cell markers CD133 and CD24, and HREC24T cell line that expresses only CD24. HRTPT cells showed most of the key characteristics of stem/progenitor cells; however, HREC24T cells did not show any of these characteristics. The goal of this study was to further characterize and understand the global gene expression differences, upregulated pathways and gene interaction using scRNA-seq in HRTPT cells. Affymetrix microarray analysis identified common gene sets and pathways specific to HRTPT and HREC24T cells analysed using DAVID, Reactome and Ingenuity software. Gene sets of HRTPT cells, in comparison with publicly available data set for CD133+ infant kidney, urine-derived renal progenitor cells and human kidney-derived epithelial proximal tubule cells showed substantial similarity in organization and interactions of the apical membrane. Single-cell analysis of HRTPT cells identified unique gene clusters associated with CD133 and the 92 common gene sets from three data sets. In conclusion, the gene expression analysis identified a unique gene set for HRTPT cells and narrowed the co-expressed gene set compared with other human renal-derived cell lines expressing CD133, which may provide deeper understanding in their role as progenitor/stem cells that participate in renal repair.

Indexed as

RegenerationAge FactorsBiomarkersCell LineComputational BiologyEpithelial CellsGene Expression ProfilingGene Expression RegulationGene OntologyHumansImmunophenotypingKidney Tubules, ProximalSignal TransductionSingle-Cell AnalysisStem CellsTranscriptomeBiomarkersCD133CD24Cell regenerationHuman renal epithelial cell 24 TERT (HREC24T) cellsHuman renal tubular precursor tert (HRTPT) cellsMicroarrayrenal progenitor cells

Identifiers

PMID34626063
PMCPMC8581341
OpenAlexW3203607871

What Socratic 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 Socratic graph.