Fetal medicine and current practice of prenatal screening by Akshatha Prabhu

“…The fetal sample is used for various genetic tests, such as chromosome microarray analysis (CMA), targeted clinical exome sequencing (CES), or whole exome sequencing (WES) depending upon the abnormality noted or the suspected genetic condition. …”
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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. …”
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Exploration of the shared pathways and common biomarkers in cervical and ovarian cancer using integrated bioinformatics analysis by Fang Liu, Min Wang, Tian Zhu, Cong Xu, Guangming Wang

“…Abstract Objective Searching for potential biomarkers and therapeutic targets for early diagnosis of gynecological tumors to improve patient survival. Methods Microarray datasets of cervical cancer (CC) and ovarian cancer (OC) were downloaded from the Gene Expression Omnibus (GEO) database, then, differential gene expression between cancerous and normal tissues in the datasets was analyzed. …”
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Noninvasive prediction of fetal growth restriction using maternal plasma cell-free RNA: a case-control study by Yihong Huang, Ruizhi Wang, Lixia Shen, Lingyi Kong, Peisong Chen, Zilian Wang, Zhuyu Li

“…The least absolute shrinkage and selection operator regression was used to select the hub genes from the cell-free RNA DEGs. …”
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MicroRNA profiling in human colon cancer cells during 5-fluorouracil-induced autophagy. by Ni Hou, Jia Han, Jie Li, Yingxun Liu, Yannan Qin, Lei Ni, Tusheng Song, Chen Huang

“…The physiological importance of the miRNA-autophagy interconnection is only beginning to be elucidated. MiRNA microarray technology facilitates analysis of global miRNA expression in certain situations. …”
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Penaeus vannamei Genetic Evaluation for Growth and Survival Traits During White Spot Syndrome Virus Infection Based on 55K SNP Chip by Yijing HE, Mianyu LIU, Sheng LUAN, Jie KONG, Xupeng LI, Baoxiang CAO, Kun LUO, Jian TAN, Jiawang CAO, Ping DAI, Guangfeng QIANG, Zhaoxin WANG, Juan SUI, Xianhong MENG

“…Based on the survival time of individual resistance to WSSV within the family line, 590 individuals were uniformly selected and typed using 55K SNP liquid-phase microarrays to obtain genotypic data for certain individuals. …”
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Regulation of neutrophil senescence by microRNAs. by Jon R Ward, Paul R Heath, James W Catto, Moira K B Whyte, Marta Milo, Stephen A Renshaw

“…Total RNA from highly purified neutrophils was prepared and subjected to microarray analysis using the Agilent human miRNA microarray V3. …”
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Differentially expressed circular RNAs and their diagnostic value in children with allergic rhinitis by Yuhao Fan, Yilin Li, Miaomiao Xu, Liya Ren, Yong Li, Jing Li

“…Methods Blood samples were collected from allergic rhinitis patients and healthy controls, and circular RNA microarray was performed. The expression of differentially expressed circular RNAs was verified via real-time quantitative reverse transcription polymerase chain reaction, and these RNAs were selected for Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses. …”
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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. …”
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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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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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Clustering, Pathway Enrichment, and Protein-Protein Interaction Analysis of Gene Expression in Neurodevelopmental Disorders by Ruchi Yadav, Prachi Srivastava

“…In this study, we have used four samples of microarray neuronal developmental data: control, RV (resveratrol), NGF (nerve growth factor), and RV + NGF. …”
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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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Identification of Differentially Expressed Genes and Long Noncoding RNAs Associated with Parkinson’s Disease by Lu-Mei Chi, Li-Ping Wang, Dan Jiao

“…This study aims to determine differentially expressed genes (DEGs) and long noncoding RNAs (lncRNAs) associated with Parkinson’s disease (PD) using a microarray. Methods. We downloaded the microarray data GSE6613 from the Gene Expression Omnibus, which included 105 samples. …”
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Transcriptional profiling of nitrogen fixation and the role of NifA in the diazotrophic endophyte Azoarcus sp. strain BH72. by Abhijit Sarkar, Barbara Reinhold-Hurek

“…For selected genes, differential expression was corroborated by real time RT-PCR studies.…”
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Gene expression profiles in Parkinson disease prefrontal cortex implicate FOXO1 and genes under its transcriptional regulation. by Alexandra Dumitriu, Jeanne C Latourelle, Tiffany C Hadzi, Nathan Pankratz, Dan Garza, John P Miller, Jeffery M Vance, Tatiana Foroud, Thomas G Beach, Richard H Myers

“…Single-nucleotide polymorphisms (SNPs) selected from a recent meta-analysis of PD genome-wide association studies (GWAS) were successfully genotyped in 50 out of the 53 microarray brains, allowing a targeted expression-SNP (eSNP) analysis for 52 SNPs associated with PD affection at genome-wide significance and the 189 probes from FoxO1 regulated genes. …”
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Molecular profiles of tumor contrast enhancement: A radiogenomic analysis in anaplastic gliomas by Xing Liu, Yiming Li, Zhiyan Sun, Shaowu Li, Kai Wang, Xing Fan, Yuqing Liu, Lei Wang, Yinyan Wang, Tao Jiang

“…Gene set enrichment analysis (GSEA), significant analysis of microarray, generalized linear models, and Least absolute shrinkage and selection operator algorithm were used to explore radiogenomic and prognostic signatures of AG patients. …”
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