Single cell transcriptomics reveals the cellular heterogeneity of keloids and the mechanism of their aggressiveness by Xinwei Cheng, Zhen Gao, Shengzhou Shan, Haoyu Shen, Hongkun Zheng, Lu Jin, Qingfeng Li, Jia Zhou

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The GENDULF algorithm: mining transcriptomics to uncover modifier genes for monogenic diseases by Noam Auslander, Daniel M Ramos, Ivette Zelaya, Hiren Karathia, Thomas O. Crawford, Alejandro A Schäffer, Charlotte J Sumner, Eytan Ruppin

“…Taking advantage of the increasing availability of transcriptomic data, GENDULF is a novel addition to existing strategies for prediction of genetic disease modifiers, providing insights into disease pathogenesis and uncovering novel therapeutic targets.…”
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Transcriptomic and lipidomic analysis of aging-associated inflammatory signature in mouse liver by Tomoaki Ishihara, Hiroshi Tsugawa, Seigo Iwanami, Jen-Chien Chang, Aki Minoda, Makoto Arita

“…The gut microbiota crosstalks with the host by providing lipid metabolites and modulating metabolic functions. …”
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Comparative transcriptomics analysis of Zygosaccharomyces mellis under high-glucose stress by Gongliang Liu, Xinyu Bi, Changli Tao, Yongtao Fei, Sujuan Gao, Jinglong Liang, Weidong Bai

“…This study clarifies mechanisms of Z. mellis in response to high-glucose osmotic stress, providing theoretical basis for the process control of high-density alcohol fermentation.…”
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Comprehensive transcriptomics and metabolomics reveal the coloring mechanism of purple Camellia tachangensis by Dejun Huang, Xiuling Deng, Yihan Wang, Qinfei Song, Suzhen Niu

“…Theaceae of the genus Camellia, mianly distributed in Southwestern China, including Guizhou, Yunnan, and Sichuan, processes abundant wild germplasm for providing possible commercial cultivars breeding. Anthocyanins are an important functional component in tea and have been widespread attention. …”
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Identifying diagnostic biomarkers for glaucoma based on transcriptome combined with Mendelian randomization by Xiuli Lin, Chuanyong Ma, Xiaoxue Zhang, Yuzhe Qiu, Yi Cui, Nuo Xu

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Transcriptome sequencing of Antheraea pernyi antennae for identification of olfactory-related genes by Xueting Liu, Shuwei Ma, Xinxue Zhang, Xue Li, Lei Nie, Guobao Wang

“…Hence, we aimed to conduct transcriptome sequencing to explore olfactory-related genes in the antennae, serving as the most important olfactory organ in adult A. pernyi. …”
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Intergeneric and interspecific relationships in tribe Ricineae revealed by phylogenomics of the plastome and transcriptome by Wen-Xiang Liu, Wen-Xiang Liu, Guo-Bo Li, Guo-Bo Li, Zhuo Zhou, Jia-Fu Chen, An-Min Yu, Ai-Zhong Liu, Bin Tian, Bin Tian, Jun-Wei Ye

“…MethodsPlastome and transcriptome were sequenced and assembled before maximum likelihood and Bayesian inference phylogenetic trees were reconstructed. …”
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Integrated analysis of transcriptome and metabolome revealed clomazone biodegradation in maize seedlings by Guofeng Chen, Jipeng Xu, Jing Wang, Wengong Huang, Feng Liu, Jiannan Dong, Baohai Liu, Dongmei Shi, Aihua Cheng, Hui Liao

“…To evaluate the ecotoxicological impacts of CMZ residues on maize growth, a comprehensive study was conducted using integrated transcriptomic and metabolomic analyses of maize seedlings. …”
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Metabolomic and Transcriptomic Analysis Revealed the Maturation Mechanism of White-Fleshed Strawberry by Linlin Xu, Xiaodong Chen, Qinglian Wang, Mizhen Zhao, Yushan Qiao, Zhaobiao Xie, Chuanwen Sun, Miao Sun, Weijian Cai

“…In this study, based on the joint analysis of physiology, metabolome, and transcriptome, we screened and identified the key metabolites that were highly correlated to the maturation of white-fleshed strawberry (cv. …”
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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

“…Conclusion: The characteristics of the transcriptome in peripheral blood and single-cell transcriptome in the prefrontal cortex exhibit significant differences between male and female patients with AD, which providing a basis for future sex stratified treatment of AD.…”
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Spatiotemporal Transcriptomic Profiling Reveals the Dynamic Immunological Landscape of Alveolar Echinococcosis by Zhihua Ou, Li Li, Peidi Ren, Ting‐Ting Zhou, Fan He, Jialing Chen, Huimin Cai, Xiumin Han, Yao‐Dong Wu, Jiandong Li, Xiu‐Rong Li, Qiming Tan, Wenhui Li, Qi Chen, Nian‐Zhang Zhang, Xiuju He, Wei‐Gang Chen, Yanping Zhao, Jiwen Sun, Qian Zhang, Yan‐Tao Wu, Yingan Liang, Jie You, Guohai Hu, Xue‐Qi Tian, Sha Liao, Bao‐Quan Fu, Ao Chen, Xue‐Peng Cai, Huanming Yang, Jian Wang, Xin Jin, Xun Xu, Wan‐Zhong Jia, Junhua Li, Hong‐Bin Yan

“…These findings indicate the transition of parasite control strategy from “active killing” to “negative segregation” by the host, providing instructive insights into the treatment strategy for echinococcosis.…”
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Improved transcriptome assembly and functional annotation of Pleurodeles waltl for regeneration research. by Mhd Yousuf Yassouf, Akira Kinoshita, Md Mahmudul Hasan, Tao-Sheng Li

“…Additionally, the previous annotation was limited, reducing the utility of the dataset for further in-depth research. To provide a more complete transcriptome with a more comprehensive annotation, we utilized 58 previously published and 9 newly sequenced libraries, expanding the available transcriptomic data for key tissues, especially limb and heart tissues. …”
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Transcriptomic Analysis of Botryosphaeria dothidea on Kiwifruit during the Early Infection Process by SONG Jinhuang, TAN Hong, ZHAO Zhibo, LONG Youhua, HU Xiaoping, FAN Rong

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Organoids as powerful models of endometrium epithelium in transcriptomic, cellular and functional mimicry by Martina Ciprietti, Celine Bueds, Hugo Vankelecom, Joris Vriens

“…A comprehensive overview of the transcriptomic changes during the menstrual cycle is provided, as well as of the detailed comparison between the different cell populations of the endometrium and the endometrial organoid model. …”
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Codes between Poles: Linking Transcriptomic Insights into the Neurobiology of Bipolar Disorder by Jon Patrick T. Garcia, Lemmuel L. Tayo

“…The development of RNA sequencing techniques has provided newer and better approaches to studying disorders at the transcriptomic level. …”
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A collaborative network analysis for the interpretation of transcriptomics data in Huntington’s disease by Ozan Ozisik, Nazli Sila Kara, Tooba Abbassi-Daloii, Morgane Térézol, Elsa C. Kuijper, Núria Queralt-Rosinach, Annika Jacobsen, Osman Ugur Sezerman, Marco Roos, Chris T. Evelo, Anaïs Baudot, Friederike Ehrhart, Eleni Mina

“…We analyzed a Huntington’s disease transcriptomics dataset using six network-based methods in a collaborative way. …”
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Metabolomics and transcriptomics profiling of three Paris species with varied polyphyllin compositions by Ping Xu, Jia Chen, Qi Mi, Wenchun Li, You Lu, Wenxiu Luo, Mengwen Yu, Xuan Zhang, Zhenhua Tu, Honggao Xu, Guowei Zheng

“…This study investigated polyphyllin compositions of 206 Paris samples from 16 different producing areas. 9 Paris polyphylla var. yunnanensis, 3 Paris fargesii, and 3 Paris forrestii were selected based on polyphyllin levels and composition for metabolome and transcriptome analysis. A total of 1,243 metabolites were identified among these samples, along with 92.11 Gb of full-length transcriptome data. …”
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Microarray integrated spatial transcriptomics (MIST) for affordable and robust digital pathology by Juwayria, Priyansh Shrivastava, Kaustar Yadav, Sourabh Das, Shubham Mittal, Sunil Kumar, Deepali Jain, Prabhat Singh Malik, Ishaan Gupta

“…Abstract 10X Visium, a popular Spatial transcriptomics (ST) method, faces limited adoption due to its high cost and restricted sample usage per slide. …”
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Parallel reverse genetic screening in mutant human cells using transcriptomics by Bianca V Gapp, Tomasz Konopka, Thomas Penz, Vineet Dalal, Tilmann Bürckstümmer, Christoph Bock, Sebastian MB Nijman

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