iMetaOmics: Advancing human and environmental health through integrated meta‐omics by Chun‐Lin Shi, Tong Chen, Canhui Lan, Ren‐You Gan, Jun Yu, Fangqing Zhao, Yong‐Xin Liu

“…iMetaOmics…”
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Endometrial Receptivity–Lessons from “Omics” by Louie Ye, Evdokia Dimitriadis

“…Drawing on findings from various branches of “omics”, including genomics, epigenomics, transcriptomics, proteomics, lipidomics, metabolomics, and microbiomics, this narrative review aims to (1) discuss mechanistic insights on endometrial receptivity and its implication in infertility; (2) highlight advances in investigations for endometrial receptivity; and (3) discuss novel diagnostic and therapeutic strategies that may improve reproductive outcomes.…”
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Emerging technologies of single-cell multi-omics by Yi June Kim, Koichi Takahashi

“…Amidst the evolving landscape of single-cell multi-omics technologies, our main objective is to guide investigators in selecting the most suitable platforms for their research needs. …”
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The multi-omics signatures of telomere length in childhood by Congrong Wang, Dries S. Martens, Mariona Bustamante, Rossella Alfano, Michelle Plusquin, Lea Maitre, John Wright, Rosemary R. C. McEachan, Johanna Lepeule, Remy Slama, Marina Vafeiadi, Leda Chatzi, Regina Grazuleviciene, Kristine B. Gutzkow, Hector Keun, Eva Borràs, Eduard Sabidó, Angel Carracedo, Georgia Escarami, Augusto Anguita-Ruiz, Dolors Pelegrí-Sisó, Juan R. Gonzalez, Martine Vrijheid, Tim S. Nawrot

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Characterizing the omics landscape based on 10,000+ datasets by Eva Brombacher, Oliver Schilling, Clemens Kreutz

“…Furthermore, variability in these data characteristics across datasets plays a crucial role, leading to diverging outcomes in benchmarking studies, which are essential for guiding the selection of appropriate analysis methods in all omics fields. Additionally, downstream analysis tools are often developed and applied within specific omics communities due to the presumed differences in data characteristics attributed to each omics technology. …”
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Omics based technology application in poultry meat research by Huaijun Zhou, Austin Quach, Mahesh Nair, Behnam Abasht, Byungwhi Kong, Brian Bowker

“…Omics techniques, including genomics, transcriptomics, proteomics, metabolomics, and lipidomics, analyze entire sets of biological molecules to seek comprehensive knowledge on a particular phenotype. …”
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Spatial integration of multi-omics single-cell data with SIMO by Penghui Yang, Kaiyu Jin, Yue Yao, Lijun Jin, Xin Shao, Chengyu Li, Xiaoyan Lu, Xiaohui Fan

“…Abstract Technical limitations in spatial and single-cell omics sequencing pose challenges for capturing and describing multimodal information at the spatial scale. …”
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Machine learning and multi-omics in precision medicine for ME/CFS by Katherine Huang, Brett A. Lidbury, Natalie Thomas, Paul R. Gooley, Christopher W. Armstrong

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Unraveling the pathogenesis of Barrett’s esophagus and esophageal adenocarcinoma: the “omics” era by Alberto Barchi, Giuseppe Dell’Anna, Giuseppe Dell’Anna, Luca Massimino, Luca Massimino, Francesco Vito Mandarino, Edoardo Vespa, Edi Viale, Sandro Passaretti, Vito Annese, Vito Annese, Alberto Malesci, Alberto Malesci, Silvio Danese, Silvio Danese, Federica Ungaro

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Multi-Omics and Network-Based Drug Repurposing for Septic Cardiomyopathy by Pei-Pei Liu, Xin-Yue Yu, Qing-Qing Pan, Jia-Jun Ren, Yu-Xuan Han, Kai Zhang, Yan Wang, Yin Huang, Tao Ban

“…This study aimed to identify repurposable drugs for SCM by integrated multi-omics and network analyses. Methods: We generated a mouse model of SCM induced by lipopolysaccharide (LPS) and then obtained comprehensive metabolic and genetic data from SCM mouse hearts using ultra-performance liquid chromatography–tandem mass spectrometry (UPLC–MS/MS) and RNA sequencing (RNA-seq). …”
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Editorial: Next generation of omics analysis to study lipid-rich tissues by Isabella Piga, Tatjana Sajic, Tatjana Sajic

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Multi-omics analysis reveals the interplay between intratumoral bacteria and glioma by Ting Li, Zhanyi Zhao, Meichang Peng, Lu Zhang, Cheng Wang, Feiyang Luo, Meiqin Zeng, Kaijian Sun, Zhencheng Fang, Yunhao Luo, Yugu Xie, Cui Lv, Jiaxuan Wang, Jian-Dong Huang, Hongwei Zhou, Haitao Sun

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“Omics” Signatures in Peripheral Monocytes from Women with Low BMD Condition by Bhavna Daswani, M. Ikram Khatkhatay

“…This review provides a list of molecules in monocytes relevant to bone density which have been identified by “omics” studies in the last decade or so. The molecules in monocytes that are deregulated in low BMD condition may contribute to processes such as monocyte survival, migration/chemotaxis, adhesion, transendothelial migration, and differentiation into the osteoclast lineage. …”
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Integrative Omics Analysis Reveals Mechanisms of Anthocyanin Biosynthesis in Djulis Spikes by Chunmei Zheng, Wenxuan Ge, Xueying Li, Xiuzhang Wang, Yanxia Sun, Xiaoyong Wu

“…The results of the combined multi-omics analysis showed that the metabolites associated with anthocyanin synthesis were mainly enriched in the flavonoid biosynthesis pathway (ko00941) and the anthocyanin biosynthesis pathway (ko00942). …”
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Joint Analysis of Multiple Omics to Describe the Biological Characteristics of Resistant Hypertension by Shanshan Wang, Yuanlong Hu, Yuqi Wang, Yueyue Song, Dan Liang, Jiufeng Yin, Yunlun Li, Wenqing Yang, Dan Zhang

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A quantitative prediction method utilizing whole omics data for biosensing by Takahiko Koizumi, Kenta Suzuki, Inoue Mizuki, Kie Kumaishi, Yasunori Ichihashi

“…Given the recent rapidly expanding availability of omics data, the developed prediction tool OmicSense, can accelerate the use of omics data as a “biosensor” based on an assemblage of potential biomarkers.…”
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Exploring the intricacies of plant growth promoting rhizobacteria interactions: an omics review by Kamogelo Mmotla, Nompumelelo R. Sibanyoni, Farhahna Allie, Lungile Sitole, Thendo Mafuna, Manamele D. Mashabela, Msizi I. Mhlongo

“…Additionally, we assess the cutting-edge omics technologies currently available to study these intricate processes. …”
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Unlocking biological complexity: the role of machine learning in integrative multi-omics by Ravindra Kumar, Rajrani Ruhel, Andre J. van Wijnen

“… The increasing complexity of biological systems demands advanced analytical approaches to decode the underlying mechanisms of health and disease. Integrative multi-omics approaches use multi-layered datasets such as genomic, transcriptomic, proteomic, and metabolomic data to understand biological processes much more comprehensively compared to the single-omics analysis and to provide a comprehensive view of cellular and molecular processes. …”
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Multi-omics analysis reveals novel causal pathways in psoriasis pathogenesis by Hua Guo, Jinyang Gao, Liping Gong, Yanqing Wang

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DRomics, a workflow to exploit dose-response omics data in ecotoxicology by Delignette-Muller, Marie Laure, Siberchicot, Aurélie, Larras, Floriane, Billoir, Elise

“…Omics technologies has opened new possibilities to assess environmental risks and to understand the mode(s) of action of pollutants. …”
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