Identification of potential biomarkers and pathways related to major depressive disorder by integrated bioinformatic analysis and experimental validation by Ying Zeng, Lu-Qi Peng, Mei Zhang, Rong Zhong, Ke-Chao Nie, Wei Huang

“…Objective: To identify promising biomarkers for the pathogenesis of major depressive disorder (MDD). Methods: Microarray chips of MDD patients, including the GSE98793, GSE52790, and GSE39653 datasets, were obtained from the Gene Expression Omnibus database. …”
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Assessment of the carcinogenic potential of particulate matter generated from 3D printing devices in Balb/c 3T3-1-1 cells by CheolHong Lim, DongSeok Seo

“…Various assays, such as the comet assay, cell transformation assays, microarray analysis, and glucose consumption measurement, were employed. …”
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The Gene Expression Profile of Milk Somatic Cells of Small Ruminant Lentivirus-Seropositive and -Seronegative Dairy Goats (<i>Capra hircus</i>) During Their First Lactation by Joanna Pławińska-Czarnak, Alicja Majewska, Joanna Magdalena Zarzyńska, Jarosław Kaba, Emilia Bagnicka

“…Statistical analysis was performed in GeneSpring 12 software. Results: Microarrays showed reduced expression of <i>DUSP26</i>, <i>PRLR</i>, <i>SCARA3</i>, <i>APBB2</i>, and <i>OR4F4</i> genes in SRLV-SP goats. …”
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Decreased mitochondrial‐related gene expression in adipose tissue after acute sprint exercise in humans: A pilot study by Mona Esbjörnsson, Håkan C. Rundqvist, Barbara Norman, Ted Österlund, Eric Rullman, Jens Bülow, Eva Jansson

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A decade of change – lessons learned from prenatal diagnostics in Central Denmark region in 2008–2018 by Dorte Launholt Lildballe, Naja Becher, Else Marie Vestergaard, Rikke Christensen, Stina Lou, Puk Sandager, Lars Henning Pedersen, Kasper Gadsbøll, Olav Bjørn Petersen, Ida Vogel

“…This retrospective study summarizes 11 years of using chromosomal microarray in invasive prenatal testing and presents the effect on diagnostic yield and turnaround time. …”
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Genetic etiology and pregnancy outcomes of fetal hyperechoic kidneys: a retrospective analysis by Meiying Cai, Na Lin, Ziheng Xiao, Ziheng Xiao, Hailong Huang, Lin Zheng, Liangpu Xu

“…Chromosome karyotyping and chromosomal microarray analysis (CMA) were performed on fetuses displaying this phenotype on prenatal ultrasound. …”
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Mathematical modelling and deep learning algorithms to automate assessment of single and digitally multiplexed immunohistochemical stains in tumoural stroma by Liam Burrows, Declan Sculthorpe, Hongrun Zhang, Obaid Rehman, Abhik Mukherjee, Ke Chen

“…This study aimed to develop a robust method to automate stromal stain analyses using 2 of the commonest stromal stains (SMA and desmin) employed in clinical pathology practice as examples. An effective computational method capable of automatically assessing and quantifying tumour-associated stromal stains was developed and applied on cores of colorectal cancer tissue microarrays. …”
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Cost-effective solutions for high-throughput enzymatic DNA methylation sequencing. by Amy Longtin, Marina M Watowich, Baptiste Sadoughi, Rachel M Petersen, Sarah F Brosnan, Kenneth Buetow, Qiuyin Cai, Cayo Biobank Research Unit, Michael D Gurven, James P Higham, Heather M Highland, Yi-Ting Huang, Hillard Kaplan, Thomas S Kraft, Yvonne A L Lim, Jirong Long, Amanda D Melin, Michael J Montague, Jamie Roberson, Kee Seong Ng, Michael L Platt, India A Schneider-Crease, Jonathan Stieglitz, Benjamin C Trumble, Vivek V Venkataraman, Ian J Wallace, Jie Wu, Noah Snyder-Mackler, Angela Jones, Alexander G Bick, Amanda J Lea

“…While costs are decreasing, whole-genome DNA methylation profiling remains prohibitively expensive for most population-scale studies, creating a need for cost-effective, reduced representation approaches (i.e., assays that rely on microarrays, enzyme digests, or sequence capture to target a subset of the genome). …”
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HEREDITARY DISEASES AND SYNDROMES ACCOMPANIED BY FEBRILE CONVULSIONS: CLINICAL AND GENETIC CHARACTERISTICS AND DIAGNOSTIC PROCEDURES by E. L. Dadali, A. A. Sharkov, I. V. Sharkova, I. V. Kanivets, F. A. Konovalov, I. A. Akimova

“…It also determines the significance of using a chromosomal microarray analysis to diagnose both chromosomal and monogenic diseases accompanied by convulsions.…”
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Utilizing Machine Learning Techniques for Cancer Prediction and Classification based on Gene Expression Data by Mariwan Mahmood Hama Aziz, Sozan Abdullah Mahmood

“…Detecting cancer early by examining gene expression data is vital for providing effective patient care. Each sample in the Gene dataset usually includes a range of features, each representing a specific gene. …”
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The antioxidant stress effect of granulin precursor in vitiligo by Haoran Guo, Jing Chen, Ling Jiang

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Effects of tumour-associated macrophages on cardia carcinoma progression by Zhixiong Zhang, Zihong Xu, Yaowu Cai, Xintong Chen, Chaoqing Huang, Xuefeng Xu

“…Methods Cancer tissue and pericancer tissue samples from 80 patients with cardia carcinoma who underwent D2 radical surgery between January 2014 and January 2015 at Putian First Hospital were selected. Tissue microarrays were fabricated, and immunohistochemistry technology was used to detect the infiltration of TAMs (CD163 as a marker) and to analyse their relationship with the clinicopathological characteristics of the patients. …”
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Prognostic effect of immunohistochemically determined molecular subtypes in gastric cancer by Jefim Brodkin, Tuomas Kaprio, Jaana Hagström, Alli Leppä, Arto Kokkola, Caj Haglund, Camilla Böckelman

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Identification of the Exercise and Time Effects on Human Skeletal Muscle through Bioinformatics Methods by Mufang Feng, Jie Ji, Xiaoliu Li, Xinming Ye

“…Methods. To determine the effects of exercise and time on human skeletal muscle, we downloaded the microarray expression profile of GSE1832 and analyzed it to select differentially expressed genes (DEGs). …”
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Effect of Storage Temperature on Key Functions of Cultured Retinal Pigment Epithelial Cells by Lara Pasovic, Jon Roger Eidet, Berit S. Brusletto, Torstein Lyberg, Tor P. Utheim

“…Total RNA was isolated and the gene expression profile was determined using DNA microarrays. Comparison of the microarray expression values with qRT-PCR analysis of selected genes validated the results. …”
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Effects of proteasome inhibitor MG-132 on the parasite Schistosoma mansoni. by Enyara R Morais, Katia C Oliveira, Renato G de Paula, Alice M M Ornelas, Érika B C Moreira, Fernanda Rafacho Badoco, Lizandra G Magalhães, Sergio Verjovski-Almeida, Vanderlei Rodrigues

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Effects of matrix metalloproteinase inhibition in cultured human Tenon’s capsule fibroblasts by Na Hyun Kim, Kyung Eun Han, Roo Min Jun, Seongsoo Sohn, Changwon Kee, Wool Suh

“…Abstract Background This study aimed to compare the characteristics of anterior and posterior human Tenon’s capsule fibroblasts and determine the effect of matrix metalloproteinase (MMP) inhibition on cultured human Tenon’s capsule fibroblasts. …”
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Effects of long-term pioglitazone treatment on peripheral and central markers of aging. by Eric M Blalock, Jeremiah T Phelps, Tristano Pancani, James L Searcy, Katie L Anderson, John C Gant, Jelena Popovic, Margarita G Avdiushko, Don A Cohen, Kuey-Chu Chen, Nada M Porter, Olivier Thibault

“…Finally, a combination of microarray analyses on hippocampal tissue and serum-based multiplex cytokine assays revealed that age-dependent inflammatory increases were not reversed by PIO.…”
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Effect of Huangqin Tang on Colonic Gene Expression in Rats with Ulcerative Colitis by Dunfang Wang, KaiFeng Shi, Yanli Wang, Dixin Zou, Shanshan Guo, Tao Li, Hangyu Xu, Xuran Ma, JiaXing Liu, HongXin Song, Weipeng Yang, Yu Li

“…After a ten-day treatment, microarray analysis was performed from the colon segment of the rats. …”
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A RNA-Seq Analysis of the Rat Supraoptic Nucleus Transcriptome: Effects of Salt Loading on Gene Expression. by Kory R Johnson, C C T Hindmarch, Yasmmyn D Salinas, YiJun Shi, Michael Greenwood, See Ziau Hoe, David Murphy, Harold Gainer

“…In addition, we compare the SON transcriptomes resolved by RNA-Seq methods with the SON transcriptomes determined by Affymetrix microarray methods in rats under the same osmotic conditions, and find that there are 6,466 genes present in the SON that are represented in both data sets, although 1,040 of the expressed genes were found only in the microarray data, and 2,762 of the expressed genes are selectively found in the RNA-Seq data and not the microarray data. …”
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