INTEGRAL ANALYSIS OF GENOMIC AND TRANSCRIPTOMIC CHANGES IN CLEAR CELL RENAL CELL CARCINOMA IN THE RUSSIAN POPULATION by S. A. Solodskikh, A. V. Panevina, A. G. Novikova, J. D. Dvoretskaya, M. V. Gryaznova, A. A. Starkov, A. Yu. Maslov, A. A. Mikhailov, K. Khinolupos, V. N. Popov

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RESPONSE TO NEOADYAVANT CHEMOTHERAPY WITH PLATINUM-BASED DRUGS IN BREAST CANCER PATIENTS WITH BRCA1 DELETION IN TUMOR by M. M. Tsyganov, N. A. Tarabanovskaya, I. V. Deryusheva, M. K. Ibragimova, P. V. Kazantseva, A. M. Pevzner, E. M. Slonimskaya, N. V. Litviakov

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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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A Highly Discriminative Hybrid Feature Selection Algorithm for Cancer Diagnosis by Tarneem Elemam, Mohamed Elshrkawey

“…To examine the proposed algorithm, many tests have been carried out on four cancerous microarray datasets, employing in the process 10-fold cross-validation and hyperparameter tuning. …”
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Human Blood Autoantibodies in the Detection of Colorectal Cancer. by Ola H Negm, Mohamed R Hamed, Robert E Schoen, Richard L Whelan, Robert J Steele, John Scholefield, Elizabeth M Dilnot, H M C Shantha Kumara, John F R Robertson, Herbert F Sewell

“…We identified an antigen panel of sufficient sensitivity and specificity for early detection of CRC, based upon serum profiling of autoantibody response using a robust multiplex antigen microarray technology. …”
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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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Ultrasound and genetic findings in a case series of fetuses presenting vertebral defects by Wanqin Xie, Lin Zhou, Ai Hu, Jing Chen, Jialun Pang, Hui Xi, Yingchun Luo, Jiancheng Hu, Shuting Yang, Xiaoyang Gao, Hanzhe Kuang, Wanglan Tang, Rui Liu, Silong Wang, Ying Peng

“…Methods Fetuses with vertebral anomalies by a second or third trimester ultrasound screening between January 2020 and April 2024 at a single center were included in the study. Chromosome microarray analysis (CMA) as a first-line diagnostic test was performed. …”
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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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A Comparative Analysis of Swarm Intelligence Techniques for Feature Selection in Cancer Classification by Chellamuthu Gunavathi, Kandasamy Premalatha

“…Feature selection in cancer classification is a central area of research in the field of bioinformatics and used to select the informative genes from thousands of genes of the microarray. …”
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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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Possible cross‑talk between atrial fibrillation and obstructive sleep apnea revealed by transcriptomic analysis by Xinmiao Chen, Yi Li, Yao Liu

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Drug and cell type-specific regulation of genes with different classes of estrogen receptor beta-selective agonists. by Sreenivasan Paruthiyil, Aleksandra Cvoro, Xiaoyue Zhao, Zhijin Wu, Yunxia Sui, Richard E Staub, Scott Baggett, Candice B Herber, Chandi Griffin, Mary Tagliaferri, Heather A Harris, Isaac Cohen, Leonard F Bjeldanes, Terence P Speed, Fred Schaufele, Dale C Leitman

“…U2OS cells stably transfected with ERalpha or ERbeta were treated with E(2) or the ERbeta-selective compounds for 6 h. Microarray data demonstrated that ERB-041, MF101 and liquiritigenin were the most ERbeta-selective agonists compared to estradiol, followed by nyasol and then diarylpropionitrile. …”
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An efficient leukemia prediction method using machine learning and deep learning with selected features. by Mahwish Ilyas, Muhammad Ramzan, Mohamed Deriche, Khalid Mahmood, Anam Naz

“…The suggested work predicts and classifies leukemia subtypes in gene data CuMiDa (GSE9476) using feature selection and ML techniques. The Curated Microarray Database (CuMiDa) collected 64 samples representing five classes of leukemia genes out of 22283 genes. …”
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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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A Ratiometric Fluorescent Detection Platform Using G‐CDs@[Ru(bpy)3]2+ for the Specific Detection of Hypochlorite and Live Cell Imaging by Mingcong Rong, Zheng He, Danru Wang, Jiahao Zeng, Qian Liu, Li Niu

“…In this work, a sensing platform for rapid, sensitive, and specific ClO− detection is constructed using green fluorescent carbon dots (G‐CDs), with a linear detection range of 0.5–11 µm and a detection limit of 0.233 µm. …”
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Genomic imbalances detected through array CGH in fetuses with holoprosencephaly by Isabela Nelly Machado, Juliana Karina Heinrich, Ricardo Barini

“…CONCLUSION: This is the first report of molecular characterization through a whole genome microarray CGH of fetuses with HPE. Our results may contribute to verify the effectiveness and applicability of the molecular technique of array CGH for prenatal diagnosis purposes, and contributing to the knowledge of the submicroscopic genomic instability characterization of HPE fetuses.…”
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Evaluation of the HumanMethylationEPIC v2.0 Bead Chip Using Low Quality and Quantity DNA Samples by Brando Poggiali, Mikkel Eriksen Dupont, Marie-Louise Kampmann, Athina Vidaki, Vania Pereira, Claus Børsting, Jacob Tfelt-Hansen, Jeppe Dyrberg Andersen

“…Abstract Background The HumanMethylationEPIC v2.0 BeadChip (EPIC v2.0) microarray is a widely used tool for genome-wide DNA methylation (DNAm) analysis, designed for high-quality human DNA with a recommended input of 250 ng. …”
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Protein detection enhanced by 3DNA dendrimer signal amplification by Johanna R. Mora, Tamara L. Zielinski, Bryce P. Nelson, Robert C. Getts

“…DNA dendrimers, conjugated with both anti-biotin antibodies and up to 350 labeling entities, were designed and adapted to protein microarray and enzyme-linked immunosorbent assay (ELISA) to improve the limits of protein detection with no additional steps or equipment. …”
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Case Report: Optical genome mapping enables identification of complex balanced chromosomal rearrangements by Xiaohang Hu, Jing Guo, Haiyang Sang, Jinyan Yan, Hong Chang, Ting Liu, Haixin Dong, Min Kong, Yanjun Tian, Liqing Jiang

“…Peripheral blood samples were collected for high-resolution karyotyping, chromosomal microarray analysis, and optical genome mapping. The high-resolution karyotype analysis identified complex chromosomal abnormalities. …”
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