scholarly journals Integrated Multi-Omics for Novel Aging Biomarkers and Antiaging Targets

Biomolecules ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 39
Author(s):  
Lei Wu ◽  
Xinqiang Xie ◽  
Tingting Liang ◽  
Jun Ma ◽  
Lingshuang Yang ◽  
...  
Keyword(s):  
Systems Biology ◽  
High Throughput ◽  
Pathological Process ◽  
Human Diseases ◽  
Biological Mechanism ◽  
Biological Functions ◽  
Biological Mechanisms ◽  
Omics Technologies ◽  
High Throughput Technology ◽  
Novel Targets

Aging is closely related to the occurrence of human diseases; however, its exact biological mechanism is unclear. Advancements in high-throughput technology provide new opportunities for omics research to understand the pathological process of various complex human diseases. However, single-omics technologies only provide limited insights into the biological mechanisms of diseases. DNA, RNA, protein, metabolites, and microorganisms usually play complementary roles and perform certain biological functions together. In this review, we summarize multi-omics methods based on the most relevant biomarkers in single-omics to better understand molecular functions and disease causes. The integration of multi-omics technologies can systematically reveal the interactions among aging molecules from a multidimensional perspective. Our review provides new insights regarding the discovery of aging biomarkers, mechanism of aging, and identification of novel antiaging targets. Overall, data from genomics, transcriptomics, proteomics, metabolomics, integromics, microbiomics, and systems biology contribute to the identification of new candidate biomarkers for aging and novel targets for antiaging interventions.

High-throughput glycoanalytical technology for systems glycobiology

2010 ◽  
Vol 38 (5) ◽  
pp. 1374-1377 ◽  
Author(s):  
Li Liu ◽  
Jayne E. Telford ◽  
Ana Knezevic ◽  
Pauline M. Rudd
Keyword(s):  
Systems Biology ◽  
High Throughput ◽  
High Throughput Technology

The development of glycoanalytical HPLC-based high-throughput technology has greatly enhanced the study of glycobiology, facilitating the discovery of disease-related solutions and providing an informative view of glycosylation and its relationship with other biological disciplines in a systems biology approach.

scholarly journals Systems biology of bacterial nitrogen fixation: High-throughput technology and its integrative description with constraint-based modeling

2011 ◽  
Vol 5 (1) ◽  
pp. 120 ◽  
Author(s):  
Osbaldo Resendis-Antonio ◽  
Magdalena Hernández ◽  
Emmanuel Salazar ◽  
Sandra Contreras ◽  
Gabriel Batallar ◽  
...  
Keyword(s):  
Nitrogen Fixation ◽  
Systems Biology ◽  
High Throughput ◽  
High Throughput Technology ◽  
Constraint Based Modeling

scholarly journals Plant Proteomic Research 4.0: Frontiers in Stress Resilience

2021 ◽  
Vol 22 (24) ◽  
pp. 13362
Author(s):  
Sixue Chen ◽  
Setsuko Komatsu
Keyword(s):  
Systems Biology ◽  
High Throughput ◽  
Large Scale ◽  
Stress Resilience ◽  
Omics Technologies ◽  
Proteomic Research

Large-scale high-throughput multi-omics technologies are indispensable components of systems biology in terms of discovering and defining parts of the system [...]

scholarly journals High-throughput insertional mutagenesis reveals novel targets for enhancing lipid accumulation in Nannochloropsis oceanica

2021 ◽  
Author(s):  
Christian Südfeld ◽  
Michal Hubáček ◽  
Daniel Rodrigues Figueiredo ◽  
Mihris I.S. Naduthodi ◽  
John van der Oost ◽  
...  
Keyword(s):  
High Throughput ◽  
Lipid Accumulation ◽  
Insertional Mutagenesis ◽  
Nannochloropsis Oceanica ◽  
Novel Targets

Co-expressional conservation in virulence and stress related genes of three Gammaproteobacterial species: Escherichia coli, Salmonella enterica and Pseudomonas aeruginosa

2015 ◽  
Vol 11 (11) ◽  
pp. 3137-3148
Author(s):  
Nazanin Hosseinkhan ◽  
Peyman Zarrineh ◽  
Hassan Rokni-Zadeh ◽  
Mohammad Reza Ashouri ◽  
Ali Masoudi-Nejad
Keyword(s):  
Gene Expression ◽  
Escherichia Coli ◽  
Pseudomonas Aeruginosa ◽  
Systems Biology ◽  
Gene Expression Data ◽  
High Throughput ◽  
Expression Data ◽  
P Gene ◽  
Stress Related Genes ◽  
High Throughput Gene Expression

Gene co-expression analysis is one of the main aspects of systems biology that uses high-throughput gene expression data.

scholarly journals HOTAIR: An Oncogenic Long Non-Coding RNA in Human Cancer

2018 ◽  
Vol 47 (3) ◽  
pp. 893-913 ◽  
Author(s):  
Qing Tang ◽  
Swei Sunny Hann
Keyword(s):  
Drug Resistance ◽  
Human Cancer ◽  
Critical Role ◽  
Stem Cell Differentiation ◽  
Human Diseases ◽  
Biological Functions ◽  
Protein Coding ◽  
Non Coding Rna ◽  
And Function ◽  
Long Non Coding Rna

Long non-coding RNAs (LncRNAs) represent a novel class of noncoding RNAs that are longer than 200 nucleotides without protein-coding potential and function as novel master regulators in various human diseases, including cancer. Accumulating evidence shows that lncRNAs are dysregulated and implicated in various aspects of cellular homeostasis, such as proliferation, apoptosis, mobility, invasion, metastasis, chromatin remodeling, gene transcription, and post-transcriptional processing. However, the mechanisms by which lncRNAs regulate various biological functions in human diseases have yet to be determined. HOX antisense intergenic RNA (HOTAIR) is a recently discovered lncRNA and plays a critical role in various areas of cancer, such as proliferation, survival, migration, drug resistance, and genomic stability. In this review, we briefly introduce the concept, identification, and biological functions of HOTAIR. We then describe the involvement of HOTAIR that has been associated with tumorigenesis, growth, invasion, cancer stem cell differentiation, metastasis, and drug resistance in cancer. We also discuss emerging insights into the role of HOTAIR as potential biomarkers and therapeutic targets for novel treatment paradigms in cancer.

High throughput technology: approaches of research in homogeneous and heterogeneous catalysis

Catalysis ◽  
2013 ◽  
pp. 172-215 ◽  
Author(s):  
Stephan A. Schunk ◽  
Natalia Böhmer ◽  
Cornelia Futter ◽  
Andreas Kuschel ◽  
Eko Prasetyo ◽  
...  
Keyword(s):  
Heterogeneous Catalysis ◽  
High Throughput ◽  
High Throughput Technology

Computational Systems Biology Perspective on Tuberculosis in Big Data Era

Web Services ◽  
2019 ◽  
pp. 2230-2254
Author(s):  
Amandeep Kaur Kahlon ◽  
Ashok Sharma
Keyword(s):  
Big Data ◽  
Systems Biology ◽  
Data Management ◽  
High Throughput ◽  
Predictive Models ◽  
System Biology ◽  
Prediction Models ◽  
Computational Systems Biology ◽  
Future Directions ◽  
Computational Systems

The major concern in this chapter is to understand the need of system biology in prediction models in studying tuberculosis infection in the big data era. The overall complexity of biological phenomenon, such as biochemical, biophysical, and other molecular processes, within pathogen as well as their interaction with host is studied through system biology approaches. First, consideration is given to the necessity of prediction models integrating system biology approaches and later on for their replacement and refinement using high throughput data. Various ongoing projects, consortium, databases, and research groups involved in tuberculosis eradication are also discussed. This chapter provides a brief account of TB predictive models and their importance in system biology to study tuberculosis and host-pathogen interactions. This chapter also addresses big data resources and applications, data management, limitations, challenges, solutions, and future directions.

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