Transcription Analysis of the Myometrium of Labouring and Non-Labouring Women. by Gemma C Sharp, James L Hutchinson, Nanette Hibbert, Tom C Freeman, Philippa T K Saunders, Jane E Norman

“…Appropriate analysis of large microarray experiments that compare gene expression in non-labouring and labouring gestational tissues is necessary to help bridge these gaps in our knowledge. …”
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Acetylation suppresses breast cancer progression by sustaining CLYBL stability by Xinyue Deng, Chenglong Ma, Xingyu Chen, Ming Yi, Qianhua Cao, Ruocen Liao, Xingyu Lei, Longchang Bai, Bin Zhao, Yingnan Wang, Zhuoyang Shen, Liujing Wu, Chenfang Dong, Zhijun Dai

“…Methods CLYBL expression patterns in breast cancer were assessed using a breast cancer tissue microarray, immunohistochemistry, and publicly available datasets. …”
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Modulation of homologous recombination gene activity in breast tumor cells in an <i>in vitro</i> model by M. M. Tsyganov, A. A. Frolova, E. A. Kravtsova, I. A. Tsydenova, M. K. Ibragimova

“…To assess the presence of chromosomal aberrations, microarray analysis was performed on DNA chips.Results. …”
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Cystatin B Promotes the Proliferation, Migration, and Invasion of Intrahepatic Cholangiocarcinoma by Dai Zhang, Bao-Ye Sun, Jing-Fang Wu, Zhu-Tao Wang, Su-Su Zheng, Guo-Qiang Sun, Xu-Kang Gao, Jian Zhou, Jia Fan, Bo Hu, Shuang-Jian Qiu, Bo-Heng Zhang

“…The clinical significance of CSTB was analyzed through immunohistochemical staining of a tissue microarray. Subsequently, the biological effects of CSTB overexpression or knockdown on iCCA cells were evaluated in vitro and in vivo. …”
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Caveolin-1 inhibits the proliferation and invasion of lung adenocarcinoma via EGFR degradation by Jiahui Dong, Ruiping Du, Yani Zhang, Bo Hong, Gengyun Sun

“…The expressions of CAV1 and EGFR in LUAD tissues and adjacent tissues were detected by Western blotting, immunohistochemistry and microarray technology. …”
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Molecular mechanism and biological pathway of high-expressed RAD51 in regulating cell adhesion and potentially affecting oral squamous cell carcinoma by Yu-Xing Tang, Yu-Yan Pang, Yan Cui, Guo-Jiao Wu, Lin-Qing Huang, Chang-Zhan Zhou, Bin Li, Qi Li, Bang-Teng Chi, Rong-Quan He, Di-Yuan Qin, Jian-Di Li, Gang Chen, Dong-Ming Li, Yi-Wu Dang

“…Methods Bulk RNA (RNA-seq and microarray), immunohistochemistry (IHC), and single-cell sequencing (scRNA-seq) were used to assess RAD51 expression and its clinical relevance in OSCC. …”
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IGF2BP3/ESM1/KLF10/BECN1 positive feedback loop: a novel therapeutic target in ovarian cancer via lipid metabolism reprogramming by Anbo Gao, Juan Zou, Tian Zeng, Mei Qin, Xing Tang, Ting Yi, Guangming Song, Jie Zhong, Yuhuan Zeng, Wenchao Zhou, Qin Gao, Qunfeng Zhang, Juan Zhang, Yukun Li

“…Abstract Ovarian cancer (OC) is often detected at an advanced stage and has a high recurrence rate after surgery or chemotherapy. …”
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Sequential prenatal diagnosis of fetal skeletal dysplasia: A cohort study by Mengting Jiang, Bin Zhang, Jing Wang, Wei Qiao, Xiuzhen Mao, Bin Yu

“…Abstract Introduction Genetic factors are considered to be the main factors leading to fetal skeletal dysplasia (SD), and chromosomal microarray analysis (CMA) has been used clinically for the detection of SD fetuses. …”
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Nanopore-based random genomic sampling for intraoperative molecular diagnosis by Francesco E. Emiliani, Abdol Aziz Ould Ismail, Edward G. Hughes, Gregory J. Tsongalis, George J. Zanazzi, Chun-Chieh Lin

“…Results In our retrospective cohort of 26 malignant brain tumors, iSCORED demonstrated 100% concordance in CNV detection, including chromosomal alterations and oncogene amplifications, when compared to clinically validated assays such as Next-Generation Sequencing and Chromosomal Microarray. …”
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Estimation of relevant variables on high-dimensional biological patterns using iterated weighted kernel functions. by Sergio Rojas-Galeano, Emily Hsieh, Dan Agranoff, Sanjeev Krishna, Delmiro Fernandez-Reyes

“…The resulting variable subsets achieved classification accuracies of 99% on Human African Trypanosomiasis, 91% on Tuberculosis, and 91% on Malaria serum proteomic profiles with fewer than 20% of variables selected. Our method scaled-up to dimensionalities of much higher orders of magnitude as shown with gene expression microarray datasets in which we obtained classification accuracies close to 90% with fewer than 1% of the total number of variables.…”
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Apoptosis-associated genetic mechanisms in the transition from rheumatoid arthritis to osteoporosis: A bioinformatics and functional analysis approach by Hao-Ju Lo, Chun-Hao Tsai, Tsan-Wen Huang

“…This study explores the mechanisms of glucocorticoid-induced osteoporosis (OP) and Rheumatoid arthritis (RA), focusing on apoptosis and its role in the progression from RA to OP. Using microarray data from the GEO database, differential gene expression analysis was conducted with the limma package, identifying significant genes in RA and OP. …”
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SMART: unique splitting-while-merging framework for gene clustering. by Rui Fa, David J Roberts, Asoke K Nandi

“…Moreover, two real microarray gene expression datasets are studied using this approach. …”
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Identification and Validation of a Potential Marker of Tissue Quality Using Gene Expression Analysis of Human Colorectal Tissue. by Nicole Lange, Florian T Unger, Monika Schöppler, Katja Pursche, Hartmut Juhl, Kerstin A David

“…Normal colorectal tissue and CRC tissue was analyzed using microarray and quantitative real-time PCR (qPCR). Comparing changes in gene expression between pre- and post-surgical tissue using microarray analysis identified a list of potential tissue quality biomarkers and this list was validated using qPCR. …”
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Renal tissue thawed for 30 minutes is still suitable for gene expression analysis. by Yi Ma, Xiao-Nan Kang, Wen-Bin Ding, Hao-Zheng Yang, Ye Wang, Jin Zhang, Yi-Ran Huang, Hui-Li Dai

“…We aim to evaluate the effects of thawing at room temperature for different time periods on gene expression analysis. …”
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Long read whole genome sequencing-based discovery of structural variants and their role in aetiology of non-syndromic autism spectrum disorder in India by Jhanvi Shah, Debasrija Mondal, Deepika Jain, Priti Mhatre, Ketan Patel, Anand Iyer, Manoj Pandya, Bhargavi Menghani, Gayatri Dave, Jayesh Sheth, Frenny Sheth, Shweta Ramdas, Harsh Sheth

“…Short read sequencing (SRS) and chromosomal microarray (CMA) are unable to resolve these SVs due to their inherent technological limitations. …”
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AgileMultiIdeogram: Rapid Identification and Visualization of Autozygous Regions Using Illumina Short-Read Sequencing Data by Christopher M. Watson, Carolina Lascelles, Morag Raynor, Marilena Elpidorou, Ummey Hany, Laura Crinnion, Colin A. Johnson, Eamonn Sheridan, Alexander F. Markham, James A. Poulter, David T. Bonthron, Ian M. Carr

“…A well-established and effective way of identifying these “autozygous” genomic regions has been to search for runs of homozygous genotypes in microarray SNP data. …”
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Over-expression of either MECP2_e1 or MECP2_e2 in neuronally differentiated cells results in different patterns of gene expression. by Marija Orlic-Milacic, Liana Kaufman, Anna Mikhailov, Aaron Y L Cheung, Huda Mahmood, James Ellis, Peter J Gianakopoulos, Berge A Minassian, John B Vincent

“…DOCK8 was shown via microarray and qRT-PCR to be upregulated in both SK-N-SH cells and mouse fibroblasts. …”
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Interpretable graph Kolmogorov–Arnold networks for multi-cancer classification and biomarker identification using multi-omics data by Fadi Alharbi, Nishant Budhiraja, Aleksandar Vakanski, Boyu Zhang, Murtada K. Elbashir, Harshith Guduru, Mohanad Mohammed

“…The proposed approach combines differential gene expression with DESeq2, Linear Models for Microarray (LIMMA), and Least Absolute Shrinkage and Selection Operator (LASSO) regression to reduce multi-omics data dimensionality while preserving relevant biological features. …”
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MOLECULAR AND GENETIC INSIGHTS OF ROOT-KNOT NEMATODES PATHOGENICITY: A REVIEW by Prabina Bhandari, Anjali Thapa, Anusha Ghimire, Sunil Ojha, Srijana Saud, Sanju Aryal

“…Protein analysis and molecular databases help identify down-regulated and up-regulated genes. Microarray technology can provide large-scale gene expression data on plant-nematode interaction, aiding in understanding nematode selection and feeding site alteration, thereby identifying genes controlling cell differentiation and division. …”
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Analytic approaches to clinical validation of results from preclinical models of glioblastoma: A systematic review. by Beth Fitt, Grace Loy, Edward Christopher, Paul M Brennan, Michael Tin Chung Poon

“…In 14 studies published between 2017 and 2020 using TCGA RNA microarray data that should have the same cohort, the median number of patients was 464.5 (interquartile range 220.5-525). …”
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