Results 101 to 110 of about 79,155 (276)

Bacteria and Fungi Synergistically Reprogram Flavonoid Metabolites in the Pericarp of Citrus Reticulata 'Chachi' During Storage

Advanced Science, EarlyView.
The authors employed widely targeted metabolomics, microbial amplicon sequencing, and fermentation assays to investigate the microbiome 's influence on PCRC 's (pericarp of Citrus reticulata ' Chachi ') flavonoid profile over 0–19 years of storage. Based on the correlation analysis, solid‐state and liquid‐state fermentation, and catalytic activity ...
Jianmu Su, Sisheng Zhang, Lidi Liang, Haiyi Bai, Mei Bai, Hanjun He, Yayu Wang, Huan Liu, Xiangxiu Liang, Yu Sun, Hong Wu   +10 more
wiley   +1 more source

moSCminer: a cell subtype classification framework based on the attention neural network integrating the single-cell multi-omics dataset on the cloud [PDF]

PeerJ
Single-cell omics sequencing has rapidly advanced, enabling the quantification of diverse omics profiles at a single-cell resolution. To facilitate comprehensive biological insights, such as cellular differentiation trajectories, precise annotation of ...
Joung Min Choi, Chaelin Park, Heejoon Chae   +2 more
doaj   +2 more sources

NNMT Orchestrates Metabolic‐Epigenetic Reprogramming to Drive Macrophage‐Myofibroblast Transition in Hypertrophic Scarring

Advanced Science, EarlyView.
In macrophage‐myofibroblast transition, upregulated NNMT depletes S‐Adenosylmethionine‌ (SAM) and nicotinamide adenine dinucleotide(NAD+), thereby triggering epigenetic reprogramming via Histone H3 Lysine 27 acetylation (H3K27ac) accumulation at the promoter region of master transcription factor Prrx1.
Xiwen Dong, Weinan Guo, Yuxuan Qian, Wenyan Jin, Xiaozhen Li, Jingyuan Yang, Qingrong Ni, Shuang Wu, Fanni Li, Hua Wang, Chunying Li, Hong Cai   +11 more
wiley   +1 more source

Combining complex networks and data mining: why and how

, 2016
The increasing power of computer technology does not dispense with the need to extract meaningful in- formation out of data sets of ever growing size, and indeed typically exacerbates the complexity of this task.
Boccaletti, S., Kubik, E., Menasalvas, E., Nicchi, A., Papo, D., Sousa, P. A., Zanin, M.   +6 more
core   +1 more source

Integrated Transcriptomics Reveals Evolutionary Trajectories and Cell Density‐Dependent Mechanisms in Aldosterone‐Producing Adenomas

Advanced Science, EarlyView.
Aldosterone‐producing adenomas (APAs) develop via two distinct paths: directly from adrenal zona glomerulosa (zG) cells, or stepwise from zG cells through aldosterone‐producing micronodules (APMs) before progressing to APAs. Advanced single‐cell and spatial analyses identified distinct cell states linked to oxidative stress and cell–cell interactions ...
Zhuolun Sun, Changying Jing, Martina Tetti, Siyuan Gong, Jia Wei, Yingxian Pang, Martin Reincke, Tracy Ann Williams   +7 more
wiley   +1 more source

Application of Multi-Omics Techniques in Aquatic Ecotoxicology: A Review

Toxics
Traditional ecotoxicology primarily investigates pollutant toxicity through physiological, biochemical, and single-molecular indicators. However, the limited data obtained through this approach constrain its application in the mechanistic analysis of ...
Boyang Li, Yizhang Zhang, Jinzhe Du, Chen Liu, Guorui Zhou, Mingrui Li, Zhenguang Yan   +6 more
doaj   +1 more source

Systems Biology and Multi-Omics Integration: Viewpoints from the Metabolomics Research Community

Metabolites, 2019
The use of multiple omics techniques (i.e., genomics, transcriptomics, proteomics, and metabolomics) is becoming increasingly popular in all facets of life science.
Farhana R. Pinu, David J. Beale, Amy M. Paten, Konstantinos Kouremenos, Sanjay Swarup, Horst J. Schirra, David Wishart   +6 more
doaj   +1 more source

Transkingdom Networks: A Systems Biology Approach to Identify Causal Members of Host-Microbiota Interactions

, 2017
Improvements in sequencing technologies and reduced experimental costs have resulted in a vast number of studies generating high-throughput data. Although the number of methods to analyze these "omics" data has also increased, computational complexity ...
A Fuente de la, A Morgun, A Morgun, A Mortazavi, A Perez-Diez, A Yambartsev, AR Erickson, AR Joyce, B Buchfink, B Langmead, BJ Haas, C Trapnell, CL Poirel, CL Schoch, DH Huson, DJ Lane, DJ McCarthy, E Saccenti, E Stackebrandt, ER Mardis, F Imhann, F Meyer, Gautier, J Kuczynski, J Skinner, JG Caporaso, JL Brookman, JN Paulson, KL Mine, LD Thomas, M Martin, M Schirmer, MA Moreno-Risueno, ML Metzker, N Gehlenborg, N Krumm, N Segata, N Shulzhenko, O Morozova, P Li, PD Schloss, PW Laird, R Greer, R Schmieder, Ritchie, RL Greer, RR Rodrigues, S Anders, S Goodwin, S Lindgreen, S Weiss, S Zhao, SC Schuster, TJ Sharpton, W Zhang, X Dong, YJ Hua   +56 more
core   +1 more source

Modifying Glucose Metabolism Reverses Memory Defects of Alzheimer's Disease Model at Late Stages

Advanced Science, EarlyView.
Using spatial transcriptomics, we show that ferul enanthate (SL‐ZF‐01) reverses episodic‐like memory deficits in aged, but not young, Alzheimer’s disease (AD) mice. SL restores glucose metabolism and Glucose Transporter 1/3 expression via an ‘Aging‐AD‐Rescue’ pattern, rescuing deficits seen in aged AD mice.
Fang Liu, Yiyu‐Li Tang, Zong‐Bo Zhang, Ya‐Hong Tan, Si‐Hui Lin, Ni‐Ya Wang, Jin‐Nan Li, Zhi‐Jie Pan, Jian‐Feng Li, Jing‐Fei Huang, Yu‐Qiang Ding, Chun‐Ming Guo, Lin Xu, Cheng Peng, Qi‐Xin Zhou   +14 more
wiley   +1 more source

Cooperative integration of spatially resolved multi-omics data with COSMOS

Nature Communications
Recent advancements in biological technologies have enabled the measurement of spatially resolved multi-omics data, yet computational algorithms for this purpose are scarce. Existing tools target either single omics or lack spatial integration.
Yuansheng Zhou, Xue Xiao, Lei Dong, Chen Tang, Guanghua Xiao, Lin Xu   +5 more
doaj   +1 more source