Identification of Potential Therapeutic Targets in the Liver of Pioglitazone-Treated Type 2 Diabetes Sprague-Dawley Rats via Expression Profile Chip and iTRAQ Assay by Zhong-Xia Lu, Wen-Jun Xu, Yang-Sheng Wu, Chang-Yu Li, Yi-Tao Chen

“…After treatment with pioglitazone for 11 weeks, the effects on fasting blood glucose, body weight, and blood biochemistry parameters were evaluated. …”
Get full text

Molecular characterization of adipose tissue in the African elephant (Loxodonta africana). by Emeli M Nilsson, Hernan P Fainberg, Siew S Choong, Thomas C Giles, James Sells, Sean May, Fiona J Stansfield, William R Allen, Richard D Emes, Alison Mostyn, Nigel P Mongan, Lisa Yon

“…RNA was extracted and histological sections created and analyzed by microarray, PCR and immunohistochemistry respectively. …”
Get full text

Clustering, Pathway Enrichment, and Protein-Protein Interaction Analysis of Gene Expression in Neurodevelopmental Disorders by Ruchi Yadav, Prachi Srivastava

“…In this study, we have used four samples of microarray neuronal developmental data: control, RV (resveratrol), NGF (nerve growth factor), and RV + NGF. …”
Get full text

miRNA-REGULATED PATHWAYS OF CD8+ T CELLS IN TNBC MOUSE MODEL by Müge Öçal Demirtaş, Bala Gür Dedeoğlu

“…Following RNA isolation, miRNA microarray analysis was performed. Differentially expressed miRNAs between the groups were detected. …”
Get full text

Long-term expansion of basal cells and the novel differentiation methods identify mechanisms for switching Claudin expression in normal epithelia by Akihito Inoko, Norihito Soga, Minako Suzuki, Tohru Kiyono, Junichi Ikenouchi, Takahiro Kojima, Yoshikatsu Sato, Daisuke Saito, Tatsuo Miyamoto, Naoki Goshima, Hideaki Ito, Kenji Kasai

“…To verify this differentiation-switching technique, we obtained microarray data comparing each differentiation state. …”
Get full text

Type-2 diabetes epigenetic biomarkers: present status and future directions for global and Indigenous health by Sarah Munns, Sarah Munns, Alex Brown, Alex Brown, Sam Buckberry, Sam Buckberry

“…We critically evaluate previous DNA methylation biomarker studies, particularly those using microarray platforms, and advocate for a shift towards sequencing-based approaches to improve genome-wide coverage. …”
Get full text

Transcriptional changes during hepatic ischemia-reperfusion in the rat. by Valerie Zabala, Joan M Boylan, Paul Thevenot, Anderson Frank, Dewahar Senthoor, Varun Iyengar, Hannah Kim, Ari Cohen, Philip A Gruppuso, Jennifer A Sanders

“…There are few effective targeted strategies to reduce hepatic ischemia-reperfusion (IR) injury, a contributor to poor outcomes in liver transplantation recipients. …”
Get full text

Expression and Promoter Analysis of Six Heat Stress-Inducible Genes in Rice by Wirat Rerksiri, Xianwen Zhang, Hairong Xiong, Xinbo Chen

“…Six highly heat responsive genes were identified in rice by microarray data analysis. The qRT-PCR analysis confirmed that the expression of these six genes were highly heat inducible and moderately responded to salt stress, polyethylene glycol, and abscisic acid treatment, but little affected by cold treatment. …”
Get full text

Comprehensive analysis of intervention and control studies for the computational identification of dengue biomarker genes. by Jibon Kumar Paul, Mahir Azmal, Tasnim Alam, Omar Faruk Talukder, Ajit Ghosh

“…Despite significant progress in understanding Dengue fever, effective prognosis and treatment remain elusive due to the complex clinical presentations and limitations in current diagnostic methods. …”
Get full text

Upregulated interleukin‐6 expression contributes to erlotinib resistance in head and neck squamous cell carcinoma by Aditya Stanam, Laurie Love-Homan, Tisha S. Joseph, Madelyn Espinosa-Cotton, Andrean L. Simons

“…Mechanisms of acquired resistance to the EGFR TKI erlotinib was investigated by developing erlotinib‐resistant HNSCC cell lines and comparing their gene expression profiles with their parental erlotinib‐sensitive HNSCC cell lines using microarray analyses and subsequent pathway and network analyses. …”
Get full text

Potential application of the bulk RNA sequencing in routine MPN clinics by Shenglong Li, Sanyun Wu, Mingli Xu, Xuedong Li, Xuelan Zuo, Yingying Wang

“…Additionally, data from the microarray datasets [GSE26049, GSE2191] were included in this study. …”
Get full text

Transcriptomic profile induced by calcitriol in CaSki human cervical cancer cell line. by Euclides Avila, Luis David Hernández-Monterde, Alberto Cedro-Tanda, Tomas Misael Lizardi-Aguilera, David Barrera, Francisco Vladimir Villegas-Rodriguez, Janice García-Quiroz, Lorenza Díaz, Fernando Larrea

“…We examined the transcriptional changes induced by calcitriol in CaSki cells, a cervical cell line harboring multiple copies of HPV16, the primary causal agent of cervical cancer. Our microarray findings, revealed that calcitriol regulated over 1000 protein-coding genes, exhibiting a predominantly repressive effect on the CaSki cell transcriptome by suppressing twice as many genes as it induced. …”
Get full text

The novel long noncoding RNA linc00467 promotes cell survival but is down-regulated by N-Myc. by Bernard Atmadibrata, Pei Y Liu, Nicolas Sokolowski, Lihong Zhang, Matthew Wong, Andrew E Tee, Glenn M Marshall, Tao Liu

“…Moreover, Affymetrix microarray analysis revealed that one of genes significantly up-regulated by linc00467 siRNA was the tumour suppressor gene DKK1. …”
Get full text

A novel computational approach for predicting complex phenotypes in Drosophila (starvation-sensitive and sterile) by deriving their gene expression signatures from public data. by Dobril K Ivanov, Gerrit Bostelmann, Benoit Lan-Leung, Julie Williams, Linda Partridge, Valentina Escott-Price, Janet M Thornton

“…We utilised available microarray gene-expression data for two phenotypes (starvation-sensitive and sterile) in Drosophila. …”
Get full text

Decrease in pneumococcal co-colonization following vaccination with the seven-valent pneumococcal conjugate vaccine. by Carina Valente, Jason Hinds, Francisco Pinto, Silvio D Brugger, Katherine Gould, Kathrin Mühlemann, Hermínia de Lencastre, Raquel Sá-Leão

“…Microarray analysis confirmed the plyNCR-RFLP results. …”
Get full text

Amogel: a multi-omics classification framework using associative graph neural networks with prior knowledge for biomarker identification by Chia Yan Tan, Huey Fang Ong, Chern Hong Lim, Mei Sze Tan, Ean Hin Ooi, KokSheik Wong

“…Abstract The advent of high-throughput sequencing technologies, such as DNA microarray and DNA sequencing, has enabled effective analysis of cancer subtypes and targeted treatment. …”
Get full text

Inhibition of Rho Kinase Induces Antioxidative Molecules and Suppresses Reactive Oxidative Species in Trabecular Meshwork Cells by Tomokazu Fujimoto, Toshihiro Inoue, Saori Ohira, Nanako Awai-Kasaoka, Takanori Kameda, Miyuki Inoue-Mochita, Hidenobu Tanihara

“…Purpose. To investigate the effect of rho kinase inhibitors on oxidative stress in trabecular meshwork (TM) cells. …”
Get full text

TRIM22 promotes glioblastoma development by ubiquitinating Bcl-2 by Jiahao Zhang, Yuning Chen, Gaosong Wang, Hui Huang, Yuankun Liu, Jin Huang, Junfei Shao, Jiantong Jiao, Chao Cheng

“…A TRIM22-overexpressing ubiquitination microarray identified TRIM22 as a potential activator of Bcl-2. …”
Get full text

Predictive and prognostic significance of loss of heterozygosity in ABC transporter genes in breast cancer by M. M. Tsyganov, M. K. Ibragimova, E. Yu. Garbukov, O. D. Bragina, E. A. Zdereva, E. A. Usynin, N. V. Litviakov

“…Material and methods. a total of 130 breast cancer patients were included in the study. microarray analysis was performed on Affymetrix Cytoscantm HD Array high-density DNA chips to assess LOH status. …”
Get full text

Enhanced leukemia prediction using hybrid ant colony and ant lion optimization for gene selection and classification by Santhakumar D, Gnanajeyaraman Rajaram, Elankavi R, Viswanath J, Govindharaj I, Raja J

“…The proposed model, which identifies the optimal feature set for classification using Support Vector Machine (SVM), has achieved an impressive prediction accuracy of 93.94 %. Results on microarray datasets for leukemia prediction show that the hybrid approach outperforms other methods in terms of both effectiveness and efficiency. …”
Get full text