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. …”
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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. …”
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Thrombospondin-1 in a Murine Model of Colorectal Carcinogenesis. by Zenaida P Lopez-Dee, Sridar V Chittur, Hiral Patel, Aleona Chinikaylo, Brittany Lippert, Bhumi Patel, Jack Lawler, Linda S Gutierrez

“…The intestinal transcriptome was also analyzed using a gene microarray approach. When the area containing tumors was compared with the entire colonic area of each mouse, the tumor burden was decreased in AOM/DSS-treated TSP-1-/- versus wild type (WT) mice. …”
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Identification and functional analysis of light-responsive unique genes and gene family members in rice. by Ki-Hong Jung, Jinwon Lee, Chris Dardick, Young-Su Seo, Peijian Cao, Patrick Canlas, Jirapa Phetsom, Xia Xu, Shu Ouyang, Kyungsook An, Yun-Ja Cho, Geun-Cheol Lee, Yoosook Lee, Gynheung An, Pamela C Ronald

“…Using a rice NSF45K oligo-microarray to compare 2-week-old light- and dark-grown rice leaf tissue, we identified 365 genes that showed significant 8-fold or greater induction in the light relative to dark conditions. …”
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Identification of G1-regulated genes in normally cycling human cells. by Maroun J Beyrouthy, Karen E Alexander, Amy Baldwin, Michael L Whitfield, Hank W Bass, Dan McGee, Myra M Hurt

“…<h4>Methodology and findings</h4>We used a robotic mitotic shake-off apparatus to select cells in late mitosis for genome-wide gene expression studies. …”
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Hepatic Gene Expression Profiles Are Altered by Dietary Unsalted Korean Fermented Soybean (Chongkukjang) Consumption in Mice with Diet-Induced Obesity by JuRyoun Soh, Dae Young Kwon, Youn-Soo Cha

“…We found that Chongkukjang, traditional unsalted fermented soybean, has an antiobesity effect in mice with diet-induced obesity and examined the changes in hepatic transcriptional profiles using cDNA microarray. …”
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AssayBLAST: A Bioinformatic Tool for <i>In Silico</i> Analysis of Molecular Multiparameter Assays by Maximilian Collatz, Sascha D. Braun, Martin Reinicke, Elke Müller, Stefan Monecke, Ralf Ehricht

“…This high accuracy demonstrates the method’s effectiveness in reliably using BLAST hits and mismatch counts to predict microarray results. …”
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A systems biology approach to prediction of oncogenes and molecular perturbation targets in B‐cell lymphomas by Kartik M Mani, Celine Lefebvre, Kai Wang, Wei Keat Lim, Katia Basso, Riccardo Dalla‐Favera, Andrea Califano

“…Such a strategy provides important insights into tumorigenesis, effectively extending and complementing existing methods. …”
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Integrative analysis of co-expression networks and codon usage bias in maize under biotic stress. by Zahra Zinati, Leyla Nazari

“…Understanding the complex networks underlying the biotic stress response in maize is crucial for developing effective approaches to improve tolerance. We identified 1449 differentially expressed genes (DEGs) by meta-analysis of the public microarray gene expression profile. …”
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c-Triadem: A constrained, explainable deep learning model to identify novel biomarkers in Alzheimer's disease. by Sherlyn Jemimah, Ferial Abuhantash, Aamna AlShehhi

“…We trained the model with blood genotyping data, microarray, and clinical features from the Alzheimer's Neuroimaging Disease Initiative (ADNI). …”
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Identification of Gene Modules Associated with Low Temperatures Response in Bambara Groundnut by Network-Based Analysis. by Venkata Suresh Bonthala, Katie Mayes, Joanna Moreton, Martin Blythe, Victoria Wright, Sean Tobias May, Festo Massawe, Sean Mayes, Jamie Twycross

“…Therefore, in this study we developed a computational pipeline to identify and analyze the genes and gene modules associated with low temperature stress responses in bambara groundnut using the cross-species microarray technique (as bambara groundnut has no microarray chip) coupled with network-based analysis. …”
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Cell cycle- and cancer-associated gene networks activated by Dsg2: evidence of cystatin A deregulation and a potential role in cell-cell adhesion. by Abhilasha Gupta, Daniela Nitoiu, Donna Brennan-Crispi, Sankar Addya, Natalia A Riobo, David P Kelsell, Mỹ G Mahoney

“…CSTA is deregulated in several skin cancers, including squamous cell carcinomas (SCC) and loss of function mutations lead to recessive skin fragility disorders. The microarray results were confirmed by qPCR, immunoblotting, and immunohistochemistry. …”
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Identification of Potential Therapeutic Targets in the Liver of Pioglitazone-Treated Type 2 Diabetes Sprague-Dawley Rats via Expression Profile Chip and iTRAQ Assay by Zhong-Xia Lu, Wen-Jun Xu, Yang-Sheng Wu, Chang-Yu Li, Yi-Tao Chen

“…After treatment with pioglitazone for 11 weeks, the effects on fasting blood glucose, body weight, and blood biochemistry parameters were evaluated. …”
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Molecular characterization of adipose tissue in the African elephant (Loxodonta africana). by Emeli M Nilsson, Hernan P Fainberg, Siew S Choong, Thomas C Giles, James Sells, Sean May, Fiona J Stansfield, William R Allen, Richard D Emes, Alison Mostyn, Nigel P Mongan, Lisa Yon

“…RNA was extracted and histological sections created and analyzed by microarray, PCR and immunohistochemistry respectively. …”
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miRNA-REGULATED PATHWAYS OF CD8+ T CELLS IN TNBC MOUSE MODEL by Müge Öçal Demirtaş, Bala Gür Dedeoğlu

“…Following RNA isolation, miRNA microarray analysis was performed. Differentially expressed miRNAs between the groups were detected. …”
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Long-term expansion of basal cells and the novel differentiation methods identify mechanisms for switching Claudin expression in normal epithelia by Akihito Inoko, Norihito Soga, Minako Suzuki, Tohru Kiyono, Junichi Ikenouchi, Takahiro Kojima, Yoshikatsu Sato, Daisuke Saito, Tatsuo Miyamoto, Naoki Goshima, Hideaki Ito, Kenji Kasai

“…To verify this differentiation-switching technique, we obtained microarray data comparing each differentiation state. …”
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Expression of Genes Related to Germ Cell Lineage and Pluripotency in Single Cells and Colonies of Human Adult Germ Stem Cells by Sabine Conrad, Hossein Azizi, Maryam Hatami, Mikael Kubista, Michael Bonin, Jörg Hennenlotter, Karl-Dietrich Sievert, Thomas Skutella

“…Genome-wide comparisons with microarray analysis confirmed that different haGSC colonies exhibited gene expression heterogeneity with more or less pluripotency. …”
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The significance of long chain non-coding RNA signature genes in the diagnosis and management of sepsis patients, and the development of a prediction model by Yong Bai, Jing Gao, Yuwen Yan, Xu Zhao

“…The purpose of this study was to determine the value of Long chain non-coding RNA (LncRNA) RP3_508I15.21, RP11_295G20.2, and LDLRAD4_AS1 in the diagnosis of adult sepsis patients and to develop a Nomogram prediction model.MethodsWe screened adult sepsis microarray datasets GSE57065 and GSE95233 from the GEO database and performed differentially expressed genes (DEGs), weighted gene co-expression network analysis (WGCNA), and machine learning methods to find the genes by random forest (Random Forest), least absolute shrinkage and selection operator (LASSO), and support vector machine (SVM), respectively, with GSE95233 as the training set and GSE57065 as the validation set. …”
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Transcriptional Profile of Kidney from Type 2 Diabetic db/db Mice by Haojun Zhang, Tingting Zhao, Zhiguo Li, Meihua Yan, Hailing Zhao, Bin Zhu, Ping Li

“…The top 10 hub genes were selected from the constructed PPI network of DEGs, including Ccnb2 and Nr1i2, which remained largely unclear in DN. …”
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Type-2 diabetes epigenetic biomarkers: present status and future directions for global and Indigenous health by Sarah Munns, Sarah Munns, Alex Brown, Alex Brown, Sam Buckberry, Sam Buckberry

“…We critically evaluate previous DNA methylation biomarker studies, particularly those using microarray platforms, and advocate for a shift towards sequencing-based approaches to improve genome-wide coverage. …”
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