Non-coding RNA regulatory networks

S Panni, RC Lovering, P Porras, S Orchard - Biochimica et biophysica acta …, 2020 - Elsevier
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 …

Recurrent topics in mass spectrometry-based metabolomics and lipidomics—standardization, coverage, and throughput

E Rampler, YE Abiead, H Schoeny, M Rusz… - Analytical …, 2020 - ACS Publications
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 …

A knowledge graph to interpret clinical proteomics data

A Santos, AR Colaço, AB Nielsen, L Niu… - Nature …, 2022 - nature.com
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 …

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 …

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 …

XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics data

E Withnell, X Zhang, K Sun, Y Guo - Briefings in bioinformatics, 2021 - academic.oup.com
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 …

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 …

[HTML][HTML] From samples to insights into metabolism: Uncovering biologically relevant information in LC-HRMS metabolomics data

J Ivanisevic, EJ Want - Metabolites, 2019 - mdpi.com
Untargeted metabolomics (including lipidomics) is a holistic approach to biomarker
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 …

Plant Reactome: a knowledgebase and resource for comparative pathway analysis

S Naithani, P Gupta, J Preece… - Nucleic acids …, 2020 - academic.oup.com
Abstract Plant Reactome (https://plantreactome. gramene. org) is an open-source,
comparative plant pathway knowledgebase of the Gramene project. It uses Oryza sativa …