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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Expression of long non-coding RNA in patients with non-IgA mesangial proliferative glomerulonephritis by CONG Shan, SUI Wei-guo, ZOU Gui-mian, XUE Wen, LI Huan, YAN Qiang, CHEN Jie-jing, LUO Ya-dan, CHEN Huai-zhou

“…Objective To study differential expression profile of mRNA and long non-coding RNA(IncRNA) through microarray analysis between non-IgA mesangial proliferative glomerulonephritis(MsPGN) patients and the controls,and then explore the potential role of IncRNA in the pathogenesis of non-IgA MsPGN.Methods Through simple random sampling,4 patients with non-IgA MsPGN and 2 controls were selected as disease group and control group,respectively.Renal cortical tissues from two groups were collected.Total RNA was extracted,quantified and prepared to ds-cDNA through reverse transcription ds-cDNA was labeled with NimbleGen one-color DNA labeling kit and used for array hybridization.All experimental data were processed through GO analysis,Pathway analysis and the gene loci correlation analysis of mRNA and IncRNA.Some IncRNAs that were closely related to non-IgA MsPGN were screened out.Finally,part of the array results was detected by PCR to verify the reliability of array test Results By fold change filtering,4317 differentially expressed mRNAs and 3502 differentially expressed IncRNAs were screened out.Five IncRNAs were found to play potential roles in the pathogenesis of non-IgA MsPGN:AF1180924(close to coding gene FGG),AK092233(close to coding gene COL18A1),AK130579(close to coding gene CREBBP),AK023598(close to coding gene LEPR),and AK055915(close to coding gene CDC42EP3).These results provided an important basis for revealing the pathogenesis of non-IgA MsPGN.Conclusions Some IncRNAs can potentially regulate related genes and plays an important role in the pathogenesis and development of non-IgA MsPGN.…”
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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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Using effective subnetworks to predict selected properties of gene networks. by Gemunu H Gunaratne, Preethi H Gunaratne, Lars Seemann, Andrei Török

“…Steady state measurements of these influence networks can be obtained from DNA microarray experiments. However, since they contain a large number of nodes, the computation of influence networks requires a prohibitively large set of microarray experiments. …”
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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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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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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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Optical genome mapping for detection of chromosomal aberrations in prenatal diagnosis by Qinxin Zhang, Yan Wang, Yiyun Xu, Ran Zhou, Mingtao Huang, Fengchang Qiao, Lulu Meng, An Liu, Jing Zhou, Li Li, Xiuqing Ji, Zhengfeng Xu, Ping Hu

“…Material and methods We retrospectively performed optical genome mapping analysis of amniotic fluid samples from 34 fetuses with various clinical indications and chromosomal aberrations detected through standard‐of‐care technologies, including karyotyping, fluorescence in situ hybridization, and/or chromosomal microarray analysis. …”
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Novel Detection and Clinical Utility of Serum-Derived Extracellular Vesicle in Angiosarcoma by Kazunori Yokoi, Jing Wang, Yusuke Yoshioka, Yasuhiro Fujisawa, Manabu Fujimoto, Takahiro Ochiya, Atsushi Tanemura

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Prenatally and postnatally sequential genetic etiology detection in corpus callosum abnormalities by Huili Xue, Aili Yu, Lin Zheng, Xianglan Ye, Lin Zhang, Qun Guo, Lingji Chen, Qingmei Shen, Na lin, Hailong Huang, Liangpu Xu

“…Abstract To evaluate the clinical utility of genetic testing via karyotyping, chromosomal microarray analysis (CMA), and exome sequencing in cases with corpus callosum abnormalities (CCA). …”
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