Unveiling migraine subtype heterogeneity and risk loci: integrated genome-wide association study and single-cell transcriptomics discovery by Shuxu Wei, Yan Quan, Xinyi Li, Suiqin Zhong, Ling Xiao, Chao Yang, Ronghuai Shen, Xiaojia Lu, Lingbin He, Youti Zhang, Xianxi Huang

“…Methods We integrated genome-wide association study (GWAS) data from FinnGen R11 and international cohorts with transcriptomic, epigenomic, and spatially resolved single-cell spatial transcriptomics (sc-ST) profiles. …”
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Unveiling the molecular mechanism of sepal curvature in Dendrobium Section Spatulata through full-length transcriptome and RNA-seq analysis by Xuefeng Qu, Na Li, Cong Xu, Zifeng Huang, Chunyan Li, Yang Jiang, Guizhao Zheng, Haiping Fu, Guangyan Zhang, Chuan Liu

“…However, the molecular and cellular mechanisms underlying this trait remain poorly understood.MethodsMorphological characteristics of five hybrids were analyzed, with a particular focus on hybrid H5, which exhibits pronounced sepal curling. Full-length transcriptomic sequencing was employed to assemble a reference transcriptome, while RNA-seq identified differentially expressed genes (DEGs) between sepals and petals. …”
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Transcriptome remodeling drives acclimation to iron availability in the marine N2-fixing cyanobacterium Trichodesmium erythraeum IMS101 by Xin Zhong, Ran Duan, Shengwei Hou, Meng Chen, Xiaoming Tan, Wolfgang R. Hess, Tuo Shi

“…ABSTRACT While enhanced phytoplankton growth as a result of iron (Fe) fertilization has been extensively characterized, our understanding of the underlying mechanisms remains incomplete. …”
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Single-cell and spatial transcriptomics analysis reveals that Pros1+ oligodendrocytes are involved in endogenous neuroprotection after brainstem stroke by Shaojun Li, Guanfeng Zeng, Chunmei Pang, Jie Li, Li Wu, Ming Luo, Zhihua Qiu, Yongjun Jiang

“…Notably, the overexpression of Myo1e within OLG8 cells led to a marked reduction in infarct volume while simultaneously improving the recovery of neurological function. …”
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Insights into the Metabolite Profiles of Two <i>Camellia</i> (Theaceae) Species in Yunnan Province through Metabolomic and Transcriptomic Analysis by Miao Niu, Ranyang Li, Xiongyu Li, Hongyan Yang, Jianliang Ding, Xianxiu Zhou, Yuqi He, Yawen Xu, Qian Qu, Zhiwei Liu, Jiahua Li

“…In this investigation, <i>C. taliensis</i> (DL) and <i>C. sinensis</i> (QJZ) were characterized in terms of their agronomic traits, physicochemical indices, metabolomics, and transcriptomics. The leaf area of DL is larger than that of QJZ; the color of DL’s buds and leaves is yellowish-green, while that of QJZ’s is green. …”
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The effects of dietary curcumin on growth, antioxidant, transcriptome, and metabolomics in Macrobrachium rosenbergii fed a high plant-protein diet by Li Wang, Qincheng Huang, Zhimin Gu, Cui Liu, Xing Ren, Yangxin Dai, Tiantian Ye, Junjun Yan, Jilun Meng, Yutong Zheng, Bo Liu

“…In summary, a 10 g/kg CU supplementation in a high plant-protein diet notably augmented growth characteristics, enhanced antioxidant capacity, and improved hepatopancreas and intestinal health, while also refining transcriptome and metabolomics profiles.…”
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Investigating potential biomarkers associated with antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis using Mendelian randomization and transcriptomic analysis by Yujia Wang, Zhimin Chen, Kaiqi Huang, Keng Ye, Shiwei He, Yanfang Xu, Hong Chen

“…This study aimed to explore novel biomarkers for AAV through transcriptomic data analysis and Mendelian randomization (MR). …”
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The key metabolic genes and networks regulating the fruit acidity and flavonoid of Prunus mume revealed via transcriptomic and metabolomic analyses by Xuan Gao, Shuangshuang Wu, Guosheng Lv, Mengyang Wang, Lingxiang Li, Yahui Liu, Feng He, Jiaxin Xiao

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Transcriptomic analysis of CDL-gated photoperiodic flowering mechanisms in cannabis and their responsiveness to R: FR ratios in controlled environment agriculture by Samuel R. Haiden, Nathan Johnson, Gerald A. Berkowitz

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Global Transcriptome Analysis Reveals Distinct Aluminum-Tolerance Pathways in the Al-Accumulating Species Hydrangea macrophylla and Marker Identification. by Haixia Chen, Changping Lu, Hui Jiang, Jinhui Peng

“…In this study, we conducted a genome-wide transcriptome analysis of Al-response genes in the roots and leaves of hydrangea by RNA sequencing (RNA-seq). …”
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Integrating genome and transcriptome-wide data to explore the expression dynamics of TCP genes in Pisum sativum under salt stress by Song Fangyuan, Li Yong, Jin Huang, Guo Zhiyue, Deng Wen

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Combined Physiological and Transcriptomic Analyses of the Effects of Exogenous Trehalose on Salt Tolerance in Maize (<i>Zea mays</i> L.) by Jingyi He, Hongliang Tang

“…This study aims to investigate the pathways and mechanisms by which trehalose mediates the improvement of salt tolerance in maize through a combined analysis of physiology and transcriptomics. The results indicate that foliar application of trehalose treatment significantly increased maize biomass and antioxidant enzyme activity while reducing the H₂O₂ and Na⁺/K⁺ ratios in both the aerial and underground parts of the plant. …”
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Integrated metabolomic and transcriptomic analysis highlight the flavonoid response to antioxidant activity and Aspergillus flavus resistance in peanut seed coats by Xuejie Zhao, Minghui Xing, LiJing Zhang, Suoyi Han, Xinyou Zhang, Jinyong Huang

“…Conclusions This study provides novel insights into the biochemical mechanisms underlying peanut resistance to A. flavus, while also supporting the valorization of peanut by-products and the breeding of resistant cultivars.…”
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Organic fertilizer substitution altered the waxy maize grain quality and aroma volatiles formation by the integrated transcriptomic and metabolomic analyses by Xiaoqiang Zhao, Qiang Chai, Wen Yin, Hong Fan, Wei He, Cai Zhao

“…Organic fertilizer substitution is an important agronomic strategy to improve waxy maize quality and aroma, while their regulatory mechanisms remain unclear. …”
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Caloric restriction mimetic 2-deoxyglucose alters metabolic and transcriptomic phenotype in association with changes in chromatin accessibility in human astrocytes by Matthew Spencer, Jacqueline R. Kulbe, Vikram Venkatesh, Anna Laird, Mary Ford, Sydney O’Brien, Ali Boustani, Johannes C. M. Schlachetzki, Jerel Adam Fields

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Comparative genome and transcriptome analysis of the endophytic fungus Epichloë sibirica reveals biological control mechanism in host Achnatherum sibiricum by Xinjian Shi, Tianzi Qin, Yubao Gao, Nianxi Zhao, Anzhi Ren

“…Second, ecological niche occupation was supported by (1) minimal transcriptomic alterations in E. sibirica during pathogen challenge, (2) superior antimicrobial activity in fungal fermentation assays (superior antimicrobial activity of E. sibirica against four pathogens, while pathogen-derived broths had negligible effects on E. sibirica growth), and (3) comparative antibiotic susceptibility testing demonstrated E. sibirica’s significantly higher tolerance to strobilurin A, tetracycline, streptomycin sulphate, and penicillin sodium compared to pathogens. …”
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Integrated single-cell and transcriptome sequencing data reveal the value of IL1RAP in gastric cancer microenvironment and prognosis by Weifeng Yang, Xiaohua Wu, Jian Wang, Wenquan Ou, Xing Huang

“…The CIBERSORT and ssGSEA algorithms elucidated immune infiltration patterns, while TIDE and TCGA predicted immune-related outcomes. …”
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Transcriptome combined single-cell sequencing explores molecular mechanisms of ANGPTL4 in sepsis-induced acute lung injury. by Ying Qi, Changqi Zhou, Bing Chen

“…GSEA examined gene-immune cell relationships, while gene enrichment analysis explored key gene mechanisms. miRNA networks identified target miRNAs for these key genes. …”
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Transcriptome landscape of the adrenal gland and superior cervical ganglion from hypertension-induced left ventricular hypertrophy rat model by Chaohong Li, Fengting Liu, Xingyu Li, Xiaohua Yang, Qiaoqiao Li, Jing Huang

“…In this study, we investigated the transcriptome characteristics of the left ventricle, AG, and SCG in 24-week-old spontaneously hypertensive rats (SHR) and Wistar-Kyoto (WKY) rats using transcriptome sequencing (RNA-seq) technology. …”
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Identification of a deubiquitinating gene-related signature in ovarian cancer using integrated transcriptomic analysis and machine learning framework by Suwan Hu, Mengting Wang

“…Abstract Background Ovarian carcinoma represents an aggressive malignancy with poor prognosis and limited therapeutic efficacy. While deubiquitinating (DUB) genes are known to regulate crucial cellular processes and cancer progression, their specific roles in ovarian carcinoma remain poorly understood. …”
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