Complex patterns of chromosome 11 aberrations in myeloid malignancies target CBL, MLL, DDB1 and LMO2. by Thorsten Klampfl, Jelena D Milosevic, Ana Puda, Andreas Schönegger, Klaudia Bagienski, Tiina Berg, Ashot S Harutyunyan, Bettina Gisslinger, Elisa Rumi, Luca Malcovati, Daniela Pietra, Chiara Elena, Matteo Giovanni Della Porta, Lisa Pieri, Paola Guglielmelli, Christoph Bock, Michael Doubek, Dana Dvorakova, Nada Suvajdzic, Dragica Tomin, Natasa Tosic, Zdenek Racil, Michael Steurer, Sonja Pavlovic, Alessandro M Vannucchi, Mario Cazzola, Heinz Gisslinger, Robert Kralovics

“…Therefore, we studied chromosome 11 in a total of 813 samples from 773 individual patients with different myeloid malignancies by SNP microarrays and complemented the data with exome sequencing in selected cases exhibiting chromosome 11 defects. …”
Get full text

Antibiotic resistance in agroecosystem: Progress and challenges by ZHANG Yusen, YE Jun, SU Jianqiang

“…Both culture-dependent and culture-independent technologies, including metagenomic, microarray and high-throughput quantitative polymerase chain reaction have been utilized in the characterization of ARGs in agroecosystem, and each has its strength and weakness. …”
Get full text

Identification of Novel Biomarkers in Huntington’s Disease Based on Differential Gene Expression Meta-Analysis and Machine Learning Approach by Nayan Dash, Md Abul Bashar, Jeonghan Lee, Raju Dash

“…Therefore, to discover the key biomarkers associated with the progression of HD, we employed bioinformatics and machine learning (ML) to create a robust pipeline that integrated differentially expressed gene (DEG) analysis with ML to select potential biomarkers. We performed a meta-analysis to identify DEGs using three Gene Expression Omnibus (GEO) microarray datasets from different platforms related to HD-affected brain tissue, applying both relaxed and strict criteria to identify differentially expressed genes. …”
Get full text

Circulating exosomal microRNAs as biomarkers of colon cancer. by Hiroko Ogata-Kawata, Masashi Izumiya, Daisuke Kurioka, Yoshitaka Honma, Yasuhide Yamada, Koh Furuta, Toshiaki Gunji, Hideki Ohta, Hiroyuki Okamoto, Hikaru Sonoda, Masatoshi Watanabe, Hitoshi Nakagama, Jun Yokota, Takashi Kohno, Naoto Tsuchiya

“…<h4>Experimental design</h4>Microarray analyses of miRNAs in exosome-enriched fractions of serum samples from 88 primary CRC patients and 11 healthy controls were performed. …”
Get full text

Integrated bioinformatic analysis of the shared molecular mechanisms between ANCA-associated vasculitis and atherosclerosis by Xun Hu, Inmaculada Xu Lou, Qilan Chen

“…This study aims to explore the mechanisms underlying the concurrent occurrence of ANCA and AS. Methods Microarray data of AAV and AS were examined in a comprehensive gene expression database. …”
Get full text

Comparison of monocyte gene expression among patients with neurocysticercosis-associated epilepsy, Idiopathic Epilepsy and idiopathic headaches in India. by Vasudevan Prabhakaran, Douglas A Drevets, Govindan Ramajayam, Josephine J Manoj, Michael P Anderson, Jay S Hanas, Vedantam Rajshekhar, Anna Oommen, Hélène Carabin

“…Fifteen genes up-regulated in NCC patients compared with other groups were selected based on possible relevance to NCC, and analyzed by qPCR in all patients' samples. …”
Get full text

Characterization of Human Knee and Chin Adipose-Derived Stromal Cells by Magali Kouidhi, Phi Villageois, Carine M. Mounier, Corinne Ménigot, Yves Rival, David Piwnica, Jérôme Aubert, Bérengère Chignon-Sicard, Christian Dani

“…Paired chin and knee fat depots were harvested from 11 subjects and gene expression profiles were determined by DNA microarray analyses. Adipose-derived stromal cells (ASCs) from both sites were isolated and analyzed for their capacity to proliferate, form clones, and differentiate. …”
Get full text

Genome-wide and rna-seq highlight genetic characteristics of rumpless signals in piao chicken by Wang Mei QI, Xing Fu ZHANG, Li Wen SONG, Zai Xia LIU, Yuan CHAI, Yan Yong SUN

“…Understanding the genetic relationship between rumpless chicken and other specific selection target breeds in the process of differentiation of the rumpless signal genes is helpful to reveal the genetic basis of rumplessnesss. …”
Get full text

Research on the diagnosis model of osteoarthritis based on methylation-related genes using machine learning algorithms by Xu Cui, Houlin Ji, Shengyang Guo, Ju Liu, Linyuan Zhang, Yongwei Jia, Yin Cui, Xiaoxiao Zhou

“…Genes were selected through SVM-RFE analysis and LASSO regression model, and a diagnostic model for OA was established. …”
Get full text

Integrating single-cell RNA sequencing, WGCNA, and machine learning to identify key biomarkers in hepatocellular carcinoma by Gang Wang, Jiaxing Zhang, Yirong Li, Yuyu Zhang, Weiwei Dong, Hengquan Wu, Jinglan Wang, Peiqing Liao, Ziqiang Yuan, Tao Liu, Wenting He

“…Abstract The microarray and single-cell RNA-sequencing (scRNA-seq) datasets of hepatocellular carcinoma (HCC) were downloaded from the Gene Expression Omnibus (GEO) database. …”
Get full text

An Immune-Related Prognostic Classifier Is Associated with Diffuse Large B Cell Lymphoma Microenvironment by Xiao-Jie Liang, Rui-ying Fu, He-nan Wang, Jing Yang, Na Yao, Xin-di Liu, Liang Wang

“…Results. Eighteen IRGs were selected to construct the classifier. The multi-IRG classifier showed powerful predictive ability. …”
Get full text

MiR-25-3p regulates pulmonary arteriovenous malformation after Glenn procedure in patients with univentricular heart via the PHLPP2-HIF-1α axis by Junpei Kawamura, Munekazu Yamakuchi, Kentaro Ueno, Teruto Hashiguchi, Yasuhiro Okamoto

“…Abstract The detailed mechanism of pulmonary arteriovenous malformations after Glenn surgery (G-PAVMs) in cyanotic congenital heart disease (CHD) remains unclear. Microarray in situ hybridization was performed to assess the miRNA (miRNA) profiles of serum from pediatric patients (0–6 years of age) with G-PAVMs and after the Fontan procedure without G-PAVMs. …”
Get full text

Stromal expression of decorin, Semaphorin6D, SPARC, Sprouty1 and Tsukushi in developing prostate and decreased levels of decorin in prostate cancer. by Alexander Henke, O Cathal Grace, George R Ashley, Grant D Stewart, Antony C P Riddick, Henry Yeun, Marie O'Donnell, Richard A Anderson, Axel A Thomson

“…Four candidates (Decorin, SPARC, Spry-1, Tsukushi) were immunolocalised in human foetal prostate (weeks 14, 16, 19) and expression of Decorin was evaluated on a human prostate cancer tissue microarray. In embryonic and perinatal rats Decorin, Semaphorin6D, SPARC, Spry-1 and Tsukushi were expressed with varying distribution patterns throughout the mesenchyme at E17.5, E19.5, P0.5 and P6.5. …”
Get full text

Integrative Bioinformatics Analysis Unravel the Association between Intracerebral Hemorrhage and Cellular Apoptosis through Immune Infiltration by Pandi Chen, Gengfan Ye, Jia Li, Kuan Feng, Guangyao Zhu, Maosong Chen, Wei Chen

“…Key genes were identified through least absolute shrinkage and selection operator regression after model validation. …”
Get full text

Temporal Expression of Peripheral Blood Leukocyte Biomarkers in a Macaca fascicularis Infection Model of Tuberculosis; Comparison with Human Datasets and Analysis with Parametric/N... by Sajid Javed, Leanne Marsay, Alice Wareham, Kuiama S Lewandowski, Ann Williams, Michael J Dennis, Sally Sharpe, Richard Vipond, Nigel Silman, Graham Ball, Karen E Kempsell

“…Further data refinements identified groups of key markers showing group-specific expression patterns, with a substantial reprogramming event evident at the four to six week interval. Selected statistically-significant gene entities from this study and other immune and apoptotic markers were validated using qPCR, which confirmed many of the results obtained using microarray hybridisation. …”
Get full text

Identification of potential biomarkers for 2022 Mpox virus infection: a transcriptomic network analysis and machine learning approach by Joy Prokash Debnath, Kabir Hossen, Sabrina Bintay Sayed, Md. Sayeam Khandaker, Preonath Chondrow Dev, Saifuddin Sarker, Tanvir Hossain

“…This study aimed to identify the differentially expressed genes (DEGs) induced by the 2022 MPXV infection through comprehensive bioinformatics analyses of microarray and RNA-Seq datasets from post-infected cell types with different MPXV clades. …”
Get full text

RTP4, a Biomarker Associated with Diagnosing Pulmonary Tuberculosis and Pan-Cancer Analysis by Hao Li, Qin Zhou, ZhiXiang Ding, QingHai Wang

“…Pulmonary tuberculosis (PTB) is a global epidemic of infectious disease; the purpose of our study was to explore new potential biomarkers for the diagnosis of pulmonary tuberculosis and to use the biomarkers for further pan-cancer analysis. Methods. Four microarray gene expression sets were downloaded from the GEO public databases and conducted for further analysis. …”
Get full text

Citrus flavonoids for overcoming breast cancer resistance to methotrexate: identification of potential targets of nobiletin and sinensetin by Adam Hermawan, Naufa Hanif, Dyaningtyas Dewi Pamungkas Putri, Nurul Fatimah, Heri Himawan Prasetio

“…Protein targets of citrus flavonoids were identified from multiple databases and were collected using Venny 2.1. Microarray data of MCF-7 and MCF-7/MTX cells were acquired from the Gene Expression Omnibus. …”
Get full text

Highly immunoreactive IgG antibodies directed against a set of twenty human proteins in the sera of patients with amyotrophic lateral sclerosis identified by protein array. by Caroline May, Eckhard Nordhoff, Swaantje Casjens, Michael Turewicz, Martin Eisenacher, Ralf Gold, Thomas Brüning, Beate Pesch, Christian Stephan, Dirk Woitalla, Botond Penke, Tamás Janáky, Dezső Virók, László Siklós, Jozsef I Engelhardt, Helmut E Meyer

“…These results led us to perform a case-control study using human protein microarrays to identify the antibody profiles of serum samples from 20 ALS patients and 20 healthy controls. …”
Get full text

Long Noncoding RNAs and mRNA Regulation in Peripheral Blood Mononuclear Cells of Patients with Chronic Obstructive Pulmonary Disease by Xiaoyan Qu, Xiaomin Dang, Weijia Wang, Ying Li, Dan Xu, Dong Shang, Ying Chang

“…Methods. lncRNA and mRNA profiling of PBMCs from 17 smokers and 14 COPD subjects was detected by high-throughput microarray. The expression of dysregulated lncRNAs was validated by qPCR. …”
Get full text