Results 101 to 110 of about 57,794 (383)

Combining WGCNA and machine learning to identify mechanisms and biomarkers of ischemic heart failure development after acute myocardial infarction

Heliyon
Background Ischemic heart failure (IHF) is a serious complication after acute myocardial infarction (AMI). Understanding the mechanism of IHF after AMI will help us conduct early diagnosis and treatment.
Yan Li, Ying Hu, Feng Jiang, Haoyu Chen, Yitao Xue, Yiding Yu   +5 more
semanticscholar   +1 more source

Comprehensive transcriptome and WGCNA analysis reveals the potential function of anthocyanins in low-temperature resistance of a red flower mutant tobacco.

Genomics, 2023
The anthocyanin is a protective substance in various plants, and plays important roles in resisting to low-temperature. Here, we explored transcriptome analysis of pink flower (as CK) and the natural mutant red flower (as research objects) under low ...
Yinchao Zhang, Xiaoling Qu, Xiu-Jie Li, Min Ren, Ying Tong, Xiuming Wu, Yangyang Sun, Fengyan Wu, Aiguo Yang, Shuai Chen   +9 more
semanticscholar   +1 more source

DSG2+ Cancer Stem Cells Co‐Located With FAP+ Myofibroblasts in the Tumor Boundary That Determines the Efficacy of Immunotherapy in Non‐Small Cell Lung Cancer

Advanced Science, EarlyView.
Cancer stem cells (CSCs) in non‐small cell lung cancer display pronounced plasticity and spatial heterogeneity. By integrating single‐cell and spatial transcriptomics, this study defines a DSG2‐associated CSC program and reveals a tumor‐margin niche formed with FAP+ myofibroblasts.
Guangyu Fan, Le Tang, Tongji Xie, Mengwei Yang, Lin Li, Sheng Yang, Puyuan Xing, Xiaohong Han, Yuankai Shi   +8 more
wiley   +1 more source

Network and biosignature analysis for the integration of transcriptomic and metabolomic data to characterize leaf senescence process in sunflower [PDF]

, 2016
In recent years, high throughput technologies have led to an increase of datasets from omics disciplines allowing the understanding of the complex regulatory networks associated with biological processes.
Di Rienzo, Julio Alejandro, Fernández, Paula del Carmen, Heinz, Ruth Amelia, Higgins, Janet, Moschen, Sebastián Nicolás, Paniego, Norma Beatriz   +5 more
core   +5 more sources

Identification of novel hub genes for Alzheimer’s disease associated with the hippocampus using WGCNA and differential gene analysis

Frontiers in Neuroscience
Background Alzheimer’s disease (AD) is a common, refractory, progressive neurodegenerative disorder in which cognitive and memory deficits are highly correlated with abnormalities in hippocampal brain regions. There is still a lack of hippocampus-related
Yang Chen, Zhaoxiang Li, Xin Ge, Huandi Lv, Zuojun Geng   +4 more
semanticscholar   +1 more source

Identification of thyroid cancer biomarkers using WGCNA and machine learning

European Journal of Medical Research
The incidence of thyroid cancer (TC) is increasing in China, largely due to overdiagnosis from widespread screening and improved ultrasound technology. Identifying precise TC biomarkers is crucial for accurate diagnosis and effective treatment.TC patient data were obtained from TCGA.
Gaofeng Hu, Wenyuan Niu, Jiaming Ge, Jie Xuan, Yanyang Liu, Mengjia Li, Huize Shen, Shang Ma, Yuanqiang Li, Qinglin Li   +9 more
openaire   +3 more sources

Restriction of Individual Branched‐Chain Amino Acids has Distinct Effects on the Development and Progression of Alzheimer's Disease in 3xTg Mice

Advanced Science, EarlyView.
Protein restriction (PR) slows Alzheimer's disease (AD) in mice, and other benefits of PR are due to decreased branched‐chain amino acids (BCAAs). We show that restricting any BCAA has benefits, with sex‐ and BCAA‐specific impacts on pathology, molecular signaling, and cognition.
Reji Babygirija, Cara L. Green, Michelle M. Sonsalla, Izabelle Marie F. Le, Fan Xiao, Sarah Yandell, Mariah F. Calubag, Michaela E. Trautman, Anna Tobon, Ryan Matoska, Chung‐Yang Yeh, Charles I. Opara, Isaac Grunow, Diana Vertein, Sophia Schlorf, Bailey A. Knopf, Michael J. Rigby, David A. Harris, Mark P. Keller, Alan D. Attie, Luigi Puglielli, Cholsoon Jang, Dudley W. Lamming   +22 more
wiley   +1 more source

Weighted Gene Co-Expression Network of Growth Differentiation-Related lncRNAs and mRNAs in Plectropomus leopardus

Progress in Fishery Sciences
The leopard coral grouper (Plectropomus leopardus) exhibits captivating chromatic patterns and boasts substantial nutritional content. This species garners significant consumer preference owing to its aesthetic appeal and nutritional richness, thereby ...
Jin GAO, Jinye LIU, Fuxiao CHEN, Yongbo WANG, Shuyuan FU   +4 more
doaj   +1 more source

miR-146a/b-5p-IRAK1-NF-κB Axis Regulates Unexplained Recurrent Spontaneous Abortion. [PDF]

J Mol Recognit
ABSTRACT Unexplained recurrent spontaneous abortion (URSA) remains a prevalent obstetric issue, the underlying causes of which are still not fully understood. MicroRNAs (miRNAs) have the potential to influence URSA through their regulation of gene expression.
He F, Fan S, Chen L, Lou J, Lin Z, Liu Y, Yan T, Zhang Y.   +7 more
europepmc   +2 more sources

Large-scale associations between the leukocyte transcriptome and BOLD responses to speech differ in autism early language outcome subtypes. [PDF]

, 2018
Heterogeneity in early language development in autism spectrum disorder (ASD) is clinically important and may reflect neurobiologically distinct subtypes.
A Battle, A Krishnan, A Perry, A Schroeder, A Sugathan, A Venter, AJ Willsey, AM Wetherby, AR McIntosh, AR Pfenning, AT Hilliard, BS Abrahams, C Demopoulos, C Lord, CR Genovese, Cynthia Carter Barnes, DA Rossignol, DH Geschwind, DH Geschwind, DL Vargas, E Redcay, E Redcay, EA Boyle, EJ Greenblatt, Eric Courchesne, F Happé, G Dehaene-Lambertz, G Hickok, G Konopka, G Konopka, H Tager-Flusberg, HR Cremers, I Voineagu, J Cotney, JA Kosmicki, JA Miller, JC Darnell, JD Storey, JI Berman, JT Morgan, K Gotham, K Pierce, K Pierce, K Pierce, Karen Pierce, L Hippolyte, Linda Lopez, Lisa Eyler, LT Eyler, M Chikina, M Lek, MC Lai, MC Oldham, MCN Marchetto, ME Ritchie, Michael V. Lombardo, MM Kjelgaard, MV Lombardo, Nathan E. Lewis, NN Parikshak, NN Parikshak, NR Wray, P Du, P Howlin, P Langfelder, P Langfelder, P Szatmari, R Bernier, RC Gentleman, Richard A. I. Bethlehem, RJ Kelleher III, S Kapur, S Rubeis De, S Sandin, SJ Sanders, T Pramparo, T Pramparo, T Yarkoni, Tiziano Pramparo, Vahid Gazestani, Varun Warrier, X Liu, X Nuttle   +82 more
core   +1 more source