Results 51 to 60 of about 2,476,048 (310)

Metabolomics and the Multi-Omics View of Cancer [PDF]

open access: yesMetabolites, 2022
Cancer is widely regarded to be a genetic disease. Indeed, over the past five decades, the genomic perspective on cancer has come to almost completely dominate the field. However, this genome-only view is incomplete and tends to portray cancer as a disease that is highly heritable, driven by hundreds of complex genetic interactions and, consequently ...
openaire   +3 more sources

Multi-agent feature selection for integrative multi-omics analysis [PDF]

open access: yes, 2022
Multiomics data integration is key for cancer prediction as it captures different aspects of molecular mechanisms. Nevertheless, the high-dimensionality of multi-omics data with a relatively small number of patients presents a challenge for the cancer ...
Lu, H., Tabakhi, S.
core   +1 more source

Nanopore-based massively parallel sensing for peptide profiling and protein identification

open access: yesNature Communications
Nanopore-based single-molecule sensing holds immense promise for revolutionizing proteomics, however, its practical application remains constrained by low throughput, suboptimal library preparation, and limited analytical power for complex, stochastic ...
Ji Wang   +28 more
doaj   +1 more source

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

open access: yesFEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

Multi-omic network signatures of disease [PDF]

open access: yesFrontiers in Genetics, 2014
To better understand dynamic disease processes, integrated multi-omic methods are needed, yet comparing different types of omic data remains difficult. Integrative solutions benefit experimenters by eliminating potential biases that come with single omic analysis.
Gibbs, David L.   +3 more
openaire   +3 more sources

An overview of single-cell omics, spatial omics, and omics integration in axon regeneration [PDF]

open access: yes
Toward a systems approach for studying axon regeneration, the extractive omics must be integrated with single cell and spatial omics. Although a comprehensive analytical framework exists for single-cell transcriptomics, single-cell proteomics, lipidomics,
Coronado, Michael   +8 more
core   +1 more source

Whole-genome profiling of age- and sex-associated DNA methylation signatures in human plasma cell-free DNA

open access: yesCommunications Medicine
Background Age and sex significantly impact DNA methylation patterns, however, existing datasets typically include only a subset of methylation sites in the human genome, hindering our thorough understanding.
Wei Chen   +16 more
doaj   +1 more source

Forensic Features and Genetic Structure Analyses of the Beijing Han Nationality Disclosed by a Self-Developed Panel Containing a Series of Ancestry Informative Deletion/Insertion Polymorphism Loci

open access: yesFrontiers in Ecology and Evolution, 2022
The utilization of the ancestry informative markers to disclose the ancestral composition of a certain population and explore the genetic affinities between diverse populations is beneficial to inferring the biogeographic ancestry of unknown individuals ...
Hui Xu   +8 more
doaj   +1 more source

Microbiome−host proteostasis crosstalk—An emerging perspective on mechanisms and interventions toward healthy longevity

open access: yesFEBS Letters, EarlyView.
Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley   +1 more source

An Innovative Multi-Omics Model Integrating Latent Alignment and Attention Mechanism for Drug Response Prediction [PDF]

open access: yes
By using omics, we can now examine all components of biological systems simultaneously. Deep learning-based drug prediction methods have shown promise by integrating cancer-related multi-omics data.
Jung-Hsien Chiang   +3 more
core   +1 more source

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