The Application of Omics Technologies in the Research of Neurotoxicology

2021 ◽  
pp. 143-154
Author(s):  
Wenya Shao ◽  
Huangyuan Li
Keyword(s):  
Omics Technologies

New Strategies for Clinical Trials in Autism Spectrum Disorder

2020 ◽  
Vol 15 ◽  
Author(s):  
Rini Pauly ◽  
Catherine A. Ziats ◽  
Ludovico Abenavoli ◽  
Charles E. Schwartz ◽  
Luigi Boccuto
Keyword(s):  
Autism Spectrum Disorder ◽  
Clinical Trials ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Genetic Profiling ◽  
Omics Technologies ◽  
Molecular Abnormalities ◽  
Sequencing Technologies ◽  
Linear Relationships ◽  
Personalized Approach

Background: Autism spectrum disorder (ASD) is a complex neurodevelopmental condition that poses several challenges in terms of clinical diagnosis and investigation of molecular etiology. The lack of knowledge on the pathogenic mechanisms underlying ASD has hampered the clinical trials that so far have tried to target ASD behavioral symptoms. In order to improve our understanding of the molecular abnormalities associated with ASD, a deeper and more extensive genetic profiling of targeted individuals with ASD was needed. Methods: The recent availability of new and more powerful sequencing technologies (third-generation sequencing) has allowed to develop novel strategies for characterization of comprehensive genetic profiles of individuals with ASD. In particular, this review will describe integrated approaches based on the combination of various omics technologies that will lead to a better stratification of targeted cohorts for the design of clinical trials in ASD. Results: In order to analyze the big data collected by assays such as whole genome, epigenome, transcriptome, and proteome, it is critical to develop an efficient computational infrastructure. Machine learning models are instrumental to identify non-linear relationships between the omics technologies and therefore establish a functional informative network among the different data sources. Conclusion: The potential advantage provided by these new integrated omics-based strategies is to better characterize the genetic background of ASD cohorts, identify novel molecular targets for drug development, and ultimately offer a more personalized approach in the design of clinical trials for ASD.

scholarly journals The Potential of OMICs Technologies for the Treatment of Immune-Mediated Inflammatory Diseases

2021 ◽  
Vol 22 (14) ◽  
pp. 7506
Author(s):  
Charles Gwellem Anchang ◽  
Cong Xu ◽  
Maria Gabriella Raimondo ◽  
Raja Atreya ◽  
Andreas Maier ◽  
...  
Keyword(s):  
Inflammatory Diseases ◽  
Standard Of Care ◽  
Incidence Rates ◽  
Irreversible Damage ◽  
Omics Technologies ◽  
Progressive Development ◽  
Immune Mediated ◽  
Bowel Diseases ◽  
Affected Tissue ◽  
Systemic Nature

Immune-mediated inflammatory diseases (IMIDs), such as inflammatory bowel diseases and inflammatory arthritis (e.g., rheumatoid arthritis, psoriatic arthritis), are marked by increasing worldwide incidence rates. Apart from irreversible damage of the affected tissue, the systemic nature of these diseases heightens the incidence of cardiovascular insults and colitis-associated neoplasia. Only 40–60% of patients respond to currently used standard-of-care immunotherapies. In addition to this limited long-term effectiveness, all current therapies have to be given on a lifelong basis as they are unable to specifically reprogram the inflammatory process and thus achieve a true cure of the disease. On the other hand, the development of various OMICs technologies is considered as “the great hope” for improving the treatment of IMIDs. This review sheds light on the progressive development and the numerous approaches from basic science that gradually lead to the transfer from “bench to bedside” and the implementation into general patient care procedures.

scholarly journals The state of rhizospheric science in the era of multi-omics: A practical guide to omics technologies

Rhizosphere ◽  
2017 ◽  
Vol 3 ◽  
pp. 212-221 ◽  
Author(s):  
Richard Allen White ◽  
Albert Rivas-Ubach ◽  
Mark I. Borkum ◽  
Martina Köberl ◽  
Aivett Bilbao ◽  
...  
Keyword(s):  
The State ◽  
Omics Technologies ◽  
Practical Guide

A role for “omics” technologies in food safety assessment

Food Control ◽  
2010 ◽  
Vol 21 (12) ◽  
pp. 1601-1610 ◽  
Author(s):  
Howard Davies
Keyword(s):  
Food Safety ◽  
Safety Assessment ◽  
Omics Technologies

scholarly journals Enlistment of omics technologies in the fight against malaria: Panacea or Pandora's Box?

2006 ◽  
Vol 31 (3) ◽  
pp. 263-272 ◽  
Author(s):  
C. Nelson Hayes ◽  
Åsa M. Wheelock ◽  
Johan Normark ◽  
Mats Wahlgren ◽  
Susumu Goto ◽  
...  
Keyword(s):  
Omics Technologies

scholarly journals Omics technologies provide new insights into the molecular physiopathology of equine osteochondrosis

BMC Genomics ◽  
2014 ◽  
Vol 15 (1) ◽  
pp. 947 ◽  
Author(s):  
Clémence Desjardin ◽  
Julie Riviere ◽  
Anne Vaiman ◽  
Caroline Morgenthaler ◽  
Mathieu Diribarne ◽  
...  
Keyword(s):  
Omics Technologies ◽  
Equine Osteochondrosis

Identification of supervised and sparse functional genomic pathways

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Fan Zhang ◽  
Jeffrey C. Miecznikowski ◽  
David L. Tritchler
Keyword(s):  
Real Data ◽  
The Cancer Genome Atlas ◽  
Functional Networks ◽  
Functional Genomic ◽  
Least Squares Regression ◽  
Comprehensive Understanding ◽  
Omics Technologies ◽  
Cancer Genome Atlas ◽  
Functional Pathways ◽  
Genome Atlas

AbstractFunctional pathways involve a series of biological alterations that may result in the occurrence of many diseases including cancer. With the availability of various “omics” technologies it becomes feasible to integrate information from a hierarchy of biological layers to provide a more comprehensive understanding to the disease. In many diseases, it is believed that only a small number of networks, each relatively small in size, drive the disease. Our goal in this study is to develop methods to discover these functional networks across biological layers correlated with the phenotype. We derive a novel Network Summary Matrix (NSM) that highlights potential pathways conforming to least squares regression relationships. An algorithm called Decomposition of Network Summary Matrix via Instability (DNSMI) involving decomposition of NSM using instability regularization is proposed. Simulations and real data analysis from The Cancer Genome Atlas (TCGA) program will be shown to demonstrate the performance of the algorithm.

scholarly journals Augmentation of crop productivity through interventions of omics technologies in India: challenges and opportunities

3 Biotech ◽  
2018 ◽  
Vol 8 (11) ◽  
Author(s):  
Rajesh Kumar Pathak ◽  
Mamta Baunthiyal ◽  
Dinesh Pandey ◽  
Anil Kumar
Keyword(s):  
Crop Productivity ◽  
Omics Technologies ◽  
Challenges And Opportunities
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