ArticleAmerican journal of stem cells2018
Analysis of the regulation pathways via microarray and miRNA studies: human embryonic stem cells to treat diabetes mellitus type-II.
Article in American journal of stem cells, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
The trial behind it
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Who cites it
1 citing paper in PubMed, 1 citations in OpenAlex.
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Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diabetes mellitus occurs either due to an autoimmune destruction of β cells (Type 1) or resistance to insulin effects (Type 2). Diverse conventional medications are used for treatment of diabetes, which is associated with long term complications such as kidney failure, blindness, and stroke. We recently showed the potential of human embryonic stem cells (hESCs) in 95 patients with type 2 diabetes. In the present study, we use the microarray and miRNA studies to prove why hESCs are effective in diabetes. Three samples of hESCs were cultured and microarray technology was used for the analysis of diabetic pathways. The gene targets for miRNA were analyzed using gene ontology (GO) and DAVID database. Genes involved in the diabetic pathways were classified in accordance with GO analysis. Pathways for these genes were determined using Reactome and Panther databases. The up and down-regulation of all the genes involved were confirmed with the significant
Indexed as
Identifiers
29938125PMC6013722W2992611656What Socratic holds
Registered trials
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.