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Microarray Analysis of Differentially Expressed Genes in Peripheral Blood of Postpartum Women with Gestational Diabetes Mellitus and Type 2 Diabetes [PDF]

open access: yesLife
The etiology of women with gestational diabetes mellitus (GDM) and a greater risk of developing type 2 diabetes (T2D) after delivery remains unknown. This study aimed to investigate the global gene expression in four postpartum women with previous GDM ...
Samar Sultan
doaj   +2 more sources

Identification of prognostic risk factors for pancreatic cancer using bioinformatics analysis [PDF]

open access: yesPeerJ, 2020
Background Pancreatic cancer is one of the most common malignant cancers worldwide. Currently, the pathogenesis of pancreatic cancer remains unclear; thus, it is necessary to explore its precise molecular mechanisms.
Dandan Jin   +12 more
doaj   +2 more sources

Transcriptional profiling of mouse cavernous pericytes under high-glucose conditions: Implications for diabetic angiopathy [PDF]

open access: yesInvestigative and Clinical Urology, 2021
Purpose: Penile erection requires integrative interactions between vascular endothelial cells, pericytes, smooth muscle cells, and autonomic nerves. Furthermore, the importance of the role played by pericytes in the pathogenesis of angiopathy has only ...
Guo Nan Yin   +8 more
doaj   +1 more source

Scalable Additive Construction of Arrayed Microstructures with Encoded Properties for Bioimaging

open access: yesMicromachines, 2022
Microarrays are essential components of analytical instruments. The elements of microarrays may be imbued with additional functionalities and encodings using composite materials and structures, but traditional microfabrication methods present substantial
Matthew DiSalvo   +4 more
doaj   +1 more source

Dysregulated circulating SOCS3 and haptoglobin expression associated with stable coronary artery disease and acute coronary syndrome: An integrated study based on bioinformatics analysis and case–control validation

open access: yesAnatolian Journal of Cardiology, 2020
Objective: To extensively use blood transcriptome analysis to identify potential diagnostic and therapeutic targets for cardiovascular diseases. Methods: Two gene expression datasets (GSE59867 and GSE62646) were downloaded from GEO DataSets to identify ...
Xunnan Zhang   +6 more
doaj   +1 more source

Microarray expression technology in clinical research of non-Hodgkin lymphoma [PDF]

open access: yesArchive of Oncology, 2007
Nowadays, in genomocentric era accelerated research of the human genome coupled with advances is enabling the comprehensive molecular profiling of human tissue.
Baltić Vladimir, Baltić Milan
doaj   +1 more source

Enhanced Directed Random Walk for the Identification of Breast Cancer Prognostic Markers from Multiclass Expression Data

open access: yesEntropy, 2021
Artificial intelligence in healthcare can potentially identify the probability of contracting a particular disease more accurately. There are five common molecular subtypes of breast cancer: luminal A, luminal B, basal, ERBB2, and normal-like.
Hui Wen Nies   +5 more
doaj   +1 more source

Predictive analysis of microarray data [PDF]

open access: yes, 2014
Microarray gene expression data are analyzed by means of a Bayesian nonparametric model, with emphasis on prediction of future observables, yielding a method for selection of differentially expressed genes and a ...
F., Paulo C. Marques   +1 more
core   +1 more source

Chemometric and Transcriptomic Profiling, Microtubule Disruption and Cell Death Induction by Secalonic Acid in Tumor Cells

open access: yesMolecules, 2020
Nature is an indispensable source of new drugs, providing unique bioactive lead structures for drug discovery. In the present study, secalonic acid F (SAF), a naturally occurring ergochrome pigment, was studied for its cytotoxicity against various ...
Nadire Özenver   +4 more
doaj   +1 more source

MAPPI-DAT : data management and analysis for protein-protein interaction data from the high-throughput MAPPIT cell microarray platform [PDF]

open access: yes, 2017
Protein-protein interaction (PPI) studies have dramatically expanded our knowledge about cellular behaviour and development in different conditions. A multitude of high-throughput PPI techniques have been developed to achieve proteome-scale coverage for ...
De Puysseleyr, Veronic   +8 more
core   +1 more source

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