Genetic Evaluation of Early Pregnancy Loss by Chromosomal Microarray Analysis: A Retrospective Analysis by Hu Ding, Honglei Duan, Xiangyu Zhu, Wei Liu, Leilei Gu, Chunxiang Zhou, Jie Li

“…This retrospective cohort study utilizes chromosomal microarray analysis (CMA) to systematically investigate chromosomal abnormalities associated with early pregnancy loss. …”
Get full text

Mechanism-based screen for G1/S checkpoint activators identifies a selective activator of EIF2AK3/PERK signalling. by Simon R Stockwell, Georgina Platt, S Elaine Barrie, Georgia Zoumpoulidou, Robert H Te Poele, G Wynne Aherne, Stuart C Wilson, Peter Sheldrake, Edward McDonald, Mathilde Venet, Christelle Soudy, Frédéric Elustondo, Laurent Rigoreau, Julian Blagg, Paul Workman, Michelle D Garrett, Sibylle Mittnacht

“…Our work therefore identifies CCT020312 as a novel small molecule chemical tool for the selective activation of EIF2A-mediated translation control with utility for proof-of-concept applications in EIF2A-centered therapeutic approaches, and as a chemical starting point for pathway selective agent development. …”
Get full text

Themis2/ICB1 is a signaling scaffold that selectively regulates macrophage Toll-like receptor signaling and cytokine production. by Matthew J Peirce, Matthew Brook, Nicholas Morrice, Robert Snelgrove, Shajna Begum, Alessandra Lanfrancotti, Clare Notley, Tracy Hussell, Andrew P Cope, Robin Wait

“…<h4>Background</h4>Thymocyte expressed molecule involved in selection 1 (Themis1, SwissProt accession number Q8BGW0) is the recently characterised founder member of a novel family of proteins. …”
Get full text

THE VALIDATION OF THE RESULTS OF MICROARRAY STUDIES OF ASSOCIATION BETWEEN GENE POLYMORPHISMS AND THE FREQUENCY OF RADIATION EXPOSURE MARKERS by M. V. Khalyuzova, N. V. Litvyakov, A. E. Sazonov, Ye. N. Albakh, D. S. Isubakova, A. B. Karpov, R. M. Takhauov

“…The results from the selective validation research into the association between genetic polymorphisms and the frequency of cytogenetic abnormalities on a large independent sample are analyzed. …”
Get full text

The use of chromosomal microarray analysis for diagnostics of chromosomal pathology in fetal central nervous system malformations by J. K. Kievskaya, I. V. Kanivets, E. V. Kudryavtseva, D. V. Pyankov, S. A. Korostelev

“…There were enrolled 42 pregnant women underwent invasive prenatal diagnostics in 2013–2019 due to ultrasound detection of congenital CNS defect in fetus. Fetal samples were studied by using chromosome microarray analysis (CMA).Results. …”
Get full text

Machine learning identification of molecular targets for medulloblastoma subgroups using microarray gene fingerprint analysis by Alicia Reveles-Espinoza, Ulises Villela, Edgar Hernandez-Martinez, Isaac Chairez, Sergio Juárez-Méndez, J. Casanova-Moreno, Ma. del Pilar Eguía-Aguilar, Luis Figueroa-Yáñez, Adriana Vallejo-Cardona, Iván Salgado

“…An artificial neural network (ANN) model trained on microarray gene expression data determined minimal gene combinations for each subgroup. …”
Get full text

Circular RNA microarray expression profile and potential function of circDOCK1 in colorectal cancer by Guojing Zhang, Xiaoyan Wu, Hongmin Fu, Daqing Sun

“…Therefore, there exists a critical need to identify novel markers facilitating early CRC detection and prognosis. Circular RNAs (circRNAs) hold promise as novel clinical diagnostic markers. …”
Get full text

Discovery of possible gene relationships through the application of self-organizing maps to DNA microarray databases. by Rocio Chavez-Alvarez, Arturo Chavoya, Andres Mendez-Vazquez

“…DNA microarrays and cell cycle synchronization experiments have made possible the study of the mechanisms of cell cycle regulation of Saccharomyces cerevisiae by simultaneously monitoring the expression levels of thousands of genes at specific time points. …”
Get full text

Molecular sub-classification of renal epithelial tumors using meta-analysis of gene expression microarrays. by Thomas Sanford, Paul H Chung, Ariel Reinish, Vladimir Valera, Ramaprasad Srinivasan, W Marston Linehan, Gennady Bratslavsky

“…This algorithm may aid in selecting molecular therapies and may improve the accuracy of subtyping of renal cortical tumors.…”
Get full text

SNP Microarray in FISH Negative Clinically Suspected 22q11.2 Microdeletion Syndrome by Ashutosh Halder, Manish Jain, Amanpreet Kaur Kalsi

“…Clinically suspected specific deletions (22q11.2) were detectable in approximately 8% of cases by SNP microarray, mostly from FISH noninformative cases. …”
Get full text

Distinct antibody responses of patients with mild and severe leptospirosis determined by whole proteome microarray analysis. by Carolina Lessa-Aquino, Janet C Lindow, Arlo Randall, Elsio Wunder, Jozelyn Pablo, Rie Nakajima, Algis Jasinskas, Jaqueline S Cruz, Alcineia O Damião, Nívison Nery, Guilherme S Ribeiro, Federico Costa, José E Hagan, Mitermayer Galvão Reis, Albert I Ko, Marco Alberto Medeiros, Philip L Felgner

“…<h4>Methods and principal findings</h4>Here, we used protein microarray chip to profile the antibody responses of patients with severe and mild leptospirosis against the complete Leptospira interrogans serovar Copenhageni predicted ORFeome. …”
Get full text

Deep Residual Transfer Ensemble Model for mRNA Gene-Expression-Based Breast Cancer by Job Prasanth Kumar Chinta Kunta, Vijayalakshmi A. Lepakshi

Subjects: “…Breast cancer detection…”
Get full text

Deconvolution of expression microarray data reveals 131I-induced responses otherwise undetected in thyroid tissue. by Britta Langen, Nils Rudqvist, Johan Spetz, Khalil Helou, Eva Forssell-Aronsson

“…In this study, we deconvolved microarray data from thyroid tissue in order to assess possible bias from mixed cell type data. …”
Get full text

Quantitative and Qualitative Variations in TILs in Risk Stratification and Patient Selection for Neoadjuvant Chemotherapy of the Luminal B and Triple-Negative Breast Cancer Immunop... by Ana Car Peterko, Koraljka Rajković Molek, Anita Savić Vuković, Tamara Gulić, Petra Valković Zujić, Eleonora Cini Tešar, Damir Juranić, Aleksandra Pirjavec Mahić, Franjo Lovasić, Gordana Đorđević, Manuela Avirović

Get full text

Utility of whole exome sequencing in the evaluation of isolated fetal growth restriction in normal chromosomal microarray analysis by Xiaomei Shi, Yanling Huang, Hongke Ding, Lina Zhao, Wei He, Jing Wu

“…Objective To investigate the application of whole exome sequencing (WES) in the prenatal diagnosis of isolated fetal growth restriction (FGR) with a normal result by chromosomal microarray analysis (CMA).Methods This retrospective study included singleton fetuses with isolated FGR in Guangdong Women and Children Hospital between July 2018 and August 2023. …”
Get full text

Carbohydrate Microarrays Identify Blood Group Precursor Cryptic Epitopes as Potential Immunological Targets of Breast Cancer by Denong Wang, Jin Tang, Shaoyi Liu, Jiaoti Huang

“…Using carbohydrate microarrays, we explored potential natural ligands of antitumor monoclonal antibody HAE3. …”
Get full text

Gene markers of fracture healing in early stage and the regulatory mechanism during the process using microarray analysis by Chengxue Wang, Baochang Qi, Lei Tan, Jieping Cheng

Get full text

Combining gene expression microarrays and Mendelian randomization: exploring key immune-related genes in multiple sclerosis by Shuangfeng Ding, Yunyun Zhang, Yunzhe Tang, Ying Zhang, Mingyuan Liu

Get full text

IDENTIFYING IMPORTANT GENES IN OVARIAN CANCER FROM HIGH-DIMENSIONAL MICROARRAY DATA USING SIFS-CART METHOD by Ni Kadek Emik Sapitri, Umu Sa'adah, Nur Shofianah

“…Ovarian cancer can be identified from microarray data using machine learning. Many studies only focus on improving the machine learning classification algorithms to achieve higher performance. …”
Get full text

Systematic spatial bias in DNA microarray hybridization is caused by probe spot position-dependent variability in lateral diffusion. by Doris Steger, David Berry, Susanne Haider, Matthias Horn, Michael Wagner, Roman Stocker, Alexander Loy

“…Numerical simulations reveal a strong influence of microarray well geometry on the spatial bias.<h4>Conclusions</h4>Reciprocal adjustment of the size of the microarray hybridization chamber to the area of surface-bound probes is a simple and effective measure to minimize or eliminate the diffusion-based bias, resulting in increased uniformity and accuracy of quantitative DNA microarray hybridization.…”
Get full text