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Non-coding RNA regulatory networks
It is well established that the vast majority of human RNA transcripts do not encode for
proteins and that non-coding RNAs regulate cell physiology and shape cellular functions. A …
proteins and that non-coding RNAs regulate cell physiology and shape cellular functions. A …
Recurrent topics in mass spectrometry-based metabolomics and lipidomics—standardization, coverage, and throughput
We have come a long way in the last years of develo** analytical strategies in
metabolomics. We have seen huge progress in tackling multiplatform measurement, data …
metabolomics. We have seen huge progress in tackling multiplatform measurement, data …
A knowledge graph to interpret clinical proteomics data
Implementing precision medicine hinges on the integration of omics data, such as
proteomics, into the clinical decision-making process, but the quantity and diversity of …
proteomics, into the clinical decision-making process, but the quantity and diversity of …
Joint knowledge graph and large language model for fault diagnosis and its application in aviation assembly
LIU Peifeng, L Qian, X Zhao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In complex assembly industry settings, fault localization involves rapidly and accurately
identifying the source of a fault and obtaining a troubleshooting solution based on fault …
identifying the source of a fault and obtaining a troubleshooting solution based on fault …
BRCA2 abrogation triggers innate immune responses potentiated by treatment with PARP inhibitors
T Reisländer, EP Lombardi, FJ Groelly, A Miar… - Nature …, 2019 - nature.com
Heterozygous germline mutations in BRCA2 predispose to breast and ovarian cancer.
Contrary to non-cancerous cells, where BRCA2 deletion causes cell cycle arrest or cell …
Contrary to non-cancerous cells, where BRCA2 deletion causes cell cycle arrest or cell …
XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics data
The lack of explainability is one of the most prominent disadvantages of deep learning
applications in omics. This 'black box'problem can undermine the credibility and limit the …
applications in omics. This 'black box'problem can undermine the credibility and limit the …
Genome-scale metabolic network models for industrial microorganisms metabolic engineering: Current advances and future prospects
Z Gong, J Chen, X Jiao, H Gong, D Pan, L Liu… - Biotechnology …, 2024 - Elsevier
The construction of high-performance microbial cell factories (MCFs) is the centerpiece of
biomanufacturing. However, the complex metabolic regulatory network of microorganisms …
biomanufacturing. However, the complex metabolic regulatory network of microorganisms …
[HTML][HTML] From samples to insights into metabolism: Uncovering biologically relevant information in LC-HRMS metabolomics data
Untargeted metabolomics (including lipidomics) is a holistic approach to biomarker
discovery and mechanistic insights into disease onset and progression, and response to …
discovery and mechanistic insights into disease onset and progression, and response to …
Changes in the transcriptional fingerprint of satellite glial cells following peripheral nerve injury
SE Jager, LT Pallesen, M Richner, P Harley, Z Hore… - Glia, 2020 - Wiley Online Library
Satellite glial cells (SGCs) are homeostatic cells envelo** the somata of peripheral
sensory and autonomic neurons. A wide variety of neuronal stressors trigger activation of …
sensory and autonomic neurons. A wide variety of neuronal stressors trigger activation of …
Plant Reactome: a knowledgebase and resource for comparative pathway analysis
Abstract Plant Reactome (https://plantreactome. gramene. org) is an open-source,
comparative plant pathway knowledgebase of the Gramene project. It uses Oryza sativa …
comparative plant pathway knowledgebase of the Gramene project. It uses Oryza sativa …