Dynamic changes in the skin transcriptome for the melanin pigmentation in embryonic chickens by Dong Leng, Maosen Yang, Xiaomeng Miao, Zhiying Huang, Mengmeng Li, Jia Liu, Tao Wang, Diyan Li, Chungang Feng

“…Historically, research has concentrated primarily on specific developmental points or stages, but fewer studies have examined the entire transcriptome across the timeline of the development of the embryo integument. …”
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Systematic analysis and exploration of single-cell transcriptomes in aortic aneurysm by ZHANG Xingyu, LI Ruogu

“…Compared with the control group, the proportion of pericytes in the AA group significantly decreased (P<0.001), while the proportions of monocytes/macrophages and dendritic cells increased (P=0.020, P=0.045). …”
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Effects of different temperatures on chondrocyte growth: a transcriptomic analysis by Wei Zhao, Yingsong Wang, Jingming Xie, Jin Zhou, Zhi Zhao, Tao Li, Zhiyue Shi, Jie Xiao

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Single-cell transcriptomic analysis of chondrocytes in cartilage and pathogenesis of osteoarthritis by Changyuan Huang, Bin Zeng, Bo Zhou, Guanming Chen, Qi Zhang, Wenhong Hou, Guozhi Xiao, Li Duan, Ni Hong, Wenfei Jin

“…Here, we constructed a single-cell transcriptomic atlas of chondrocytes in healthy cartilage and identified nine chondrocyte subsets including homeostatic chondrocytes, proliferate fibrochondrocytes, and hypertrophic chondrocytes (HTC). …”
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Transcriptomic and metabolic changes during tassel branching development in maize by Yuxin Tai, Xiangling Lyu, Feng Pan, Lingzhi Meng, Zixiang Cheng, Zhennan Xu, Mingshun Li, Zhuanfang Hao, Degui Zhang, Hongjun Yong, Zhiqiang Zhou, Jienan Han, Xinhai Li, Jianfeng Weng

“…UBT has only one spike without branches due to the inhibition of branch meristems, while MBT has multiple branches. Gene Ontology (GO) enrichment analysis of DEGs revealed significant enrichment in organ growth regulation, hormone response and auxin signaling pathway. …”
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Recent allopolyploidization and transcriptomic asymmetry in the mangrove shrub Acanthus tetraploideus by Wuxia Guo, Achyut Kumar Banerjee, Hui Feng, Wei Lun Ng, Haidan Wu, Weixi Li, Yang Yuan, Yelin Huang

“…While no strong evidence directly links transcriptomic changes to specific adaptive traits, the patterns in unbiased and novelly biased genes in A. tetraploideus suggest adaptations to stable polyploidy. …”
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Metabolic Plasticity and Transcriptomic Reprogramming Orchestrate Hypoxia Adaptation in Yak by Ci Huang, Yilie Liao, Wei Peng, Hai Xiang, Hui Wang, Jieqiong Ma, Zhixin Chai, Zhijuan Wu, Binglin Yue, Xin Cai, Jincheng Zhong, Jikun Wang

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Pathways to chronic disease detection and prediction: Mapping the potential of machine learning to the pathophysiological processes while navigating ethical challenges by Ebenezer Afrifa‐Yamoah, Eric Adua, Emmanuel Peprah‐Yamoah, Enoch O. Anto, Victor Opoku‐Yamoah, Emmanuel Acheampong, Michael J. Macartney, Rashid Hashmi

“…The pathophysiology and management of chronic diseases have benefitted from emerging fields in molecular biology like genomics, transcriptomics, proteomics, glycomics, and lipidomics. …”
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Transcriptomic characterization of human pancreatic CD206- and CD206 + macrophages by Alexander Jonsson, Olle Korsgren, Anders Hedin

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Comparative Analysis of Floral Transcriptomes in <i>Gossypium hirsutum</i> (Malvaceae) by Alexander Nobles, Jonathan F. Wendel, Mi-Jeong Yoo

“…Organ-specific transcriptomes provide valuable insight into the genes involved in organ identity and developmental control. …”
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Transcriptome sequencing reveals significant RNA variation in human sperm samples by Weiming Chen, Lei Yu, Zhenyu Jia, Jianguo Zhu

“…The data could help develop new algorithms to parse the RNA landscape retained after sperm formation, while potentially discovering new molecular markers of weak asthenospermia.…”
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RIDDEN: Data-driven inference of receptor activity from transcriptomic data. by Szilvia Barsi, Eszter Varga, Daniel Dimitrov, Julio Saez-Rodriguez, László Hunyady, Bence Szalai

“…Systems level analysis of receptor activity can help to identify cell and disease type-specific receptor activity alterations. While several computational methods have been developed to analyze ligand-receptor interactions based on transcriptomics data, none of them focuses directly on the receptor side of these interactions. …”
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Advancing dimensionality reduction for enhanced visualization and clustering in single-cell transcriptomics by P. Sanju

“…Analyzing scRNA-seq data requires effective dimensionality reduction methods to simplify the high-dimensional datasets while preserving critical biological information. …”
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Deciphering transcriptomic signatures in schizophrenia, bipolar disorder, and major depressive disorder by Priyanka, Rajesh Kumar, Vinod Kumar, Ashwani Kumar, Sandeep Singh Rana

“…Our comprehensive transcriptomic analysis reveals both shared molecular mechanisms and distinct immune signatures across schizophrenia, bipolar disorder, and major depressive disorder, advancing our understanding of psychiatric pathophysiology while highlighting the heterogeneous nature of these conditions. …”
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Global trends in machine learning applications for single-cell transcriptomics research by Xinyu Liu, Zhen Zhang, Chao Tan, Yinquan Ai, Hao Liu, Yuan Li, Jin Yang, Yongyan Song

“…Abstract Background Single-cell RNA sequencing (scRNA-seq) has revolutionized cellular heterogeneity analysis by decoding gene expression profiles at individual cell level, while machine learning (ML) has emerged as core computational tool for clustering analysis, dimensionality reduction modeling and developmental trajectory inference in single-cell transcriptomics(SCT). …”
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Woodsmoke and diesel exhaust: Distinct transcriptomic profiles in the human airway epithelium by Ryan D. Huff, Christopher F. Rider, Theodora Lo, Kristen I. Hardy, Nataly El-Bittar, Min Hyung Ryu, Chris Carlsten, Emilia L. Lim

“…RNA sequencing showed that WS exposure resulted in 159 (↑50, ↓109) differentially expressed genes, while DE modulated 439 (↑264, ↓175) compared to FA exposure. …”
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Unravelling the transcriptomic dynamics of Hyphopichia pseudoburtonii in co-culture with Botrytis cinerea. by Evelyn Maluleke, Neil Paul Jolly, Hugh-George Patterton, Mathabatha Evodia Setati

“…This research offers new insights into H. pseudoburtonii transcriptomic response to B. cinerea and illuminates the adaptive strategies and molecular mechanisms behind its antifungal activity.…”
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Differences in transcriptome characteristics and drug repositioning of Alzheimer's disease according to sex by Jingqi Shi, Minghua Zhang, Yazhuo Hu, Jing Liu, Ke Li, Xuan Sun, Siyu Chen, Jianwei Liu, Ling Ye, Jiao Fan, Jianjun Jia

“…Background: Previous studies have shown significant sex differences in AD with regarding its epidemiology, pathophysiology, clinical presentation, and treatment response. However, the transcriptome variances associated with sex in AD remain unclear. …”
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RACE-Nano-Seq: Profiling Transcriptome Diversity of a Genomic Locus by Lu Tang, Dongyang Xu, Philipp Kapranov

“…The complexity of the human transcriptome poses significant challenges for complete annotation. …”
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Spatial transcriptomics in autoimmune rheumatic disease: potential clinical applications and perspectives by Atsuko Tsujii Miyamoto, Hiroshi Shimagami, Atsushi Kumanogoh, Masayuki Nishide

“…Abstract Spatial transcriptomics is a cutting-edge technology that analyzes gene expression at the cellular level within tissues while integrating spatial location information. …”
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