Immune-mediated mechanisms in acute osteofascial compartment syndrome: insights from multi-omics analysis by Qinzhen Lu, He Ling, Yonghui Lao, Junjie Liu, Wei Su, Zhao Huang

“…Comparative analysis of expression differences between AOCS and control groups, followed by in-depth examination, allowed us to unravel the intricacies of AOCS occurrence from a multi-omics perspective. Results Our research findings indicate that AOCS is an immune-mediated inflammatory disease, primarily involving immune cells, especially neutrophils. …”
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Commentary: Molecular responses in pig heart to human xenotransplantation unveiled by longitudinal multi‐omic profiling by Brendan J. Keating, Eloi Schmauch, Michael P. Snyder, Jennifer D. Motter, Brian D. Piening

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Advances in bioinformatics and multi-omics integration: transforming viral infectious disease research in veterinary medicine by Alyaa Elrashedy, Walid Mousa, Mohamed Nayel, Akram Salama, Ahmed Zaghawa, Ahmed Elsify, Mohamed E. Hasan

“…With significant advancements in bioinformatics and NGS, researchers can now identify contigs, which are contiguous sequences of DNA that are assembled from overlapping fragments, assemble a complete genome, perform phylogenetic analysis to diagnose, investigate the risk of viral diseases in animals, handle and share large biological datasets across various species. Additionally, multi-omics data integration further deepens our understanding of homology, divergence, mutations, and evolutionary relationships, providing a comprehensive perspective on the molecular mechanisms driving animal pathogens infections. …”
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Integrins identified as potential prognostic markers in osteosarcoma through multi-omics and multi-dataset analysis by Lei Cui, Shuai Zhao, Hai long Teng, Biao Yang, Qian Liu, An Qin

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AMEND 2.0: module identification and multi-omic data integration with multiplex-heterogeneous graphs by Samuel S. Boyd, Chad Slawson, Jeffrey A. Thompson

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Intratumor heterogeneity in KRAS signaling shapes treatment resistance by Oleksi Petrenko, Varvara Kirillov, Stephen D'Amico, Nancy C. Reich

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Impaired inflammatory resolution with severe SARS-CoV-2 infection in leptin knock out obese hamster by Ren-Di Jiang, Yun-Zhe Luo, Hao-Feng Lin, Xiao-Shuang Zheng, Wen-Tao Zeng, Mei-Qin Liu, Hao-Hao Deng, Qi Wang, Ya-Na Lai, Ying Chen, Zi-Shuo Guo, Ya Zeng, Qian-Chun Gong, Chen Qiu, Mei Dong, Xi Wang, Zi-Yi Wang, Li-Na Ji, Pan-Pan Hou, Qian Li, Xu-Rui Shen, Bei Li, Yun Gao, Ai-Hua Zhang, Ting-Ting Jiang, Ai-Min Shi, Peng Zhou, Xin-Hua Lin, Zi-Qing Deng, Jian-Min Li, Zheng-Li Shi

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From Serendipity to Precision: Integrating AI, Multi-Omics, and Human-Specific Models for Personalized Neuropsychiatric Care by Masaru Tanaka

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Identification of GBN5 as a molecular biomarker of pan-cancer species by integrated multi-omics analysis by Qian Guo, Xinxin Zhong, Zihan Dang, Baiquan Zhang, Zixin Yang

“…Materials and methods We employed a multi-omics approach, including transcriptomic, genomic, proteomic, single-cell cytomic, spatial transcriptomic, and genomic data, to explore the prognostic value and potential oncogenic mechanisms of GBN5 across pan-cancers from multiple perspectives. …”
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Multi-omics elucidates the kidney damage caused by aquatic Cu via the gut-kidney axis in ducks by Mingcai Duan, Jinyu Liu, Zhaoxia Cai, Li Chen, Yong Tian, Wenwu Xu, Tao Zeng, Tiantian Gu, Lizhi Lu

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From discovery to application: merging modern omics with traditional hypothesis-driven approaches in muscle myopathy studies by Wei Guo, Sandra G. Velleman, Gale M. Strasburg

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Multi-omics analysis reveals interactions between host and microbes in Bama miniature pigs during weaning by Wen Ma, Li Yin, Ying Hu, Xu Liu, Zhenghong Guo, Bingyang Zhong, Haofeng Qiu, Jing Li

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Amniotic fluid microbiota and metabolism with non-syndromic congenital heart defects: a multi-omics analysis by Wenli Xu, Lu Li, Hong Kang, Meixian Wang, Yanqun Liu, Guicun Wang, Ping Yu, Juan Liang, Zhen Liu

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Physiological and multi-omics analysis revealed the mechanism of arbuscular mycorrhizal fungi to cadmium toxicity in green onion by Kunhao Xie, Yixuan Chen, Xiaoqin Wang, Xiaoya Zhou, Yizhe Cheng, Xianchang Yu, Jun Wang, Mintao Sun, Yansu Li, Chaoxing He

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Integrated omics revealed the altered colonic microenvironment after inhibition of peripheral serotonin synthesis by LP533401 by Yidan Ling, Ziyu Liu, Shuibing Han, Haiqin Wu, Chunlong Mu, Weiyun Zhu

“…iMetaOmics…”
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Longitudinal omics data and preclinical treatment suggest the proteasome inhibitor carfilzomib as therapy for ibrutinib-resistant CLL by Lavinia Arseni, Gianluca Sigismondo, Haniyeh Yazdanparast, Johanne U. Hermansen, Norman Mack, Sibylle Ohl, Verena Kalter, Murat Iskar, Mathias Kalxdorf, Dennis Friedel, Mandy Rettel, Yashna Paul, Ingo Ringshausen, Eric Eldering, Julie Dubois, Arnon P. Kater, Marc Zapatka, Philipp M. Roessner, Eugen Tausch, Stephan Stilgenbauer, Sascha Dietrich, Mikhail M. Savitski, Sigrid S. Skånland, Jeroen Krijgsveld, Peter Lichter, Martina Seiffert

“…Altogether, our results from orthogonal omics approaches identify proteasome inhibition as potentially attractive treatment for chronic lymphocytic leukemia patients resistant or refractory to ibrutinib.…”
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Joint fluid multi-omics improves diagnostic confidence during evaluation of children with presumed septic arthritis by Yolanda Peña-López, Naureen G. Tareen, Bo Zhang, Indu Raman, Carlos A. Arana, Chengsong Zhu, Yang Liu, Pratibha Selvakumar, Nicolai S. C. van Oers, Simrat Morris, Lora V. Hooper, Lawson A. B. Copley, Prithvi Raj

“…Methods Twelve children with suspected septic arthritis were prospectively enrolled to compare standard of care tests with a rapid multi-omics approach. The multi-omics combined bacterial 16S rRNA metagenomics, single cell transcriptomics, and proteomics on knee joint fluid specimens. …”
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Support Vector Machine – Recursive Feature Elimination for Feature Selection on Multi-omics Lung Cancer Data by Nuraina Syaza Azman, Azurah A Samah, Ji Tong Lin, Hairudin Abdul Majid, Zuraini Ali Shah, Nies Hui Wen, Chan Weng Howe

“…The cleaned LUSC datasets are then integrated to form a multi-omics dataset. Feature selection was performed on the LUSC multi-omics data using SVM-RFE to select several optimal feature subsets. …”
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Multi-omics analysis of hexaploid triticale that show molecular responses to salt stress during seed germination by Dongxia Wang, Jiedong Li, Shiming Li, Jiongjie Fu, Baolong Liu, Baolong Liu, Baolong Liu, Dong Cao, Dong Cao, Dong Cao

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Multi-omic and single-cell profiling of chromothriptic medulloblastoma reveals genomic and transcriptomic consequences of genome instability by Petr Smirnov, Moritz J. Przybilla, Milena Simovic-Lorenz, R. Gonzalo Parra, Hana Susak, Manasi Ratnaparkhe, John KL. Wong, Verena Körber, Jan-Philipp Mallm, George Philippos, Martin Sill, Thorsten Kolb, Rithu Kumar, Nicola Casiraghi, Konstantin Okonechnikov, David R. Ghasemi, Kendra Korinna Maaß, Kristian W. Pajtler, Anna Jauch, Andrey Korshunov, Thomas Höfer, Marc Zapatka, Stefan M. Pfister, Wolfgang Huber, Oliver Stegle, Aurélie Ernst

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