The role of high-throughput laboratories in homeland security

2003 ◽  
Vol 8 (5) ◽  
pp. 11-18 ◽  
Author(s):  
T BEUGELSDIJK ◽  
S LAYNE
Keyword(s):  
Homeland Security ◽  
High Throughput

scholarly journals The Role of High-Throughput Laboratories in Homeland Security

2003 ◽  
Vol 8 (5) ◽  
pp. 11-18
Author(s):  
Tony J. Beugelsdijk ◽  
Scott P. Layne
Keyword(s):  
Severe Acute Respiratory Syndrome ◽  
Infectious Diseases ◽  
Homeland Security ◽  
High Throughput ◽  
Biological Weapons ◽  
The World ◽  
Chemical And Biological Weapons ◽  
Dangerous Place ◽  
Terrorist Networks

Infectious diseases pose threats from natural and manmade sources, and arguably the situation is getting worse. The outbreak of the coronavirus causing the severe acute respiratory syndrome (SARS) shows that the world is linked by thousands of people traveling millions of miles every single day who can spread SARS or new strains of influenza with pandemic potential. 1 The world is also becoming a more dangerous place, with rogue nations and terrorist networks aggressively seeking nuclear, chemical, and biological weapons. Of these, biological weapons are the cheapest to produce and likely the most attractive because they can be used anonymously.

scholarly journals Fast and Efficient 5′P Degradome Library Preparation for Analysis of Co-Translational Decay in Arabidopsis

Plants ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 466
Author(s):  
Marie-Christine Carpentier ◽  
Cécile Bousquet-Antonelli ◽  
Rémy Merret
Keyword(s):  
Gene Expression ◽  
Quality Control ◽  
Transcriptional Regulation ◽  
High Throughput ◽  
Library Preparation ◽  
Working Day ◽  
Set Up ◽  
Post Transcriptional Regulation ◽  
Commercial Kit

The recent development of high-throughput technologies based on RNA sequencing has allowed a better description of the role of post-transcriptional regulation in gene expression. In particular, the development of degradome approaches based on the capture of 5′monophosphate decay intermediates allows the discovery of a new decay pathway called co-translational mRNA decay. Thanks to these approaches, ribosome dynamics could now be revealed by analysis of 5′P reads accumulation. However, library preparation could be difficult to set-up for non-specialists. Here, we present a fast and efficient 5′P degradome library preparation for Arabidopsis samples. Our protocol was designed without commercial kit and gel purification and can be easily done in one working day. We demonstrated the robustness and the reproducibility of our protocol. Finally, we present the bioinformatic reads-outs necessary to assess library quality control.

scholarly journals The role of high-throughput transcriptome analysis in metabolic engineering

2005 ◽  
Vol 10 (5) ◽  
pp. 385-399 ◽  
Author(s):  
Michael C. Jewett ◽  
Ana Paula Oliveira ◽  
Kiran Raosaheb Patil ◽  
Jens Nielsen
Keyword(s):  
Metabolic Engineering ◽  
High Throughput ◽  
Transcriptome Analysis

scholarly journals Applications of Metabolomics in Forensic Toxicology and Forensic Medicine

2021 ◽  
Vol 22 (6) ◽  
pp. 3010
Author(s):  
Michal Szeremeta ◽  
Karolina Pietrowska ◽  
Anna Niemcunowicz-Janica ◽  
Adam Kretowski ◽  
Michal Ciborowski
Keyword(s):  
Machine Learning ◽  
Multivariate Statistics ◽  
High Throughput ◽  
Forensic Medicine ◽  
Forensic Toxicology ◽  
Metabolic Changes ◽  
Untargeted Metabolomics ◽  
Criminal Cases ◽  
Statistical Approaches

Forensic toxicology and forensic medicine are unique among all other medical fields because of their essential legal impact, especially in civil and criminal cases. New high-throughput technologies, borrowed from chemistry and physics, have proven that metabolomics, the youngest of the “omics sciences”, could be one of the most powerful tools for monitoring changes in forensic disciplines. Metabolomics is a particular method that allows for the measurement of metabolic changes in a multicellular system using two different approaches: targeted and untargeted. Targeted studies are focused on a known number of defined metabolites. Untargeted metabolomics aims to capture all metabolites present in a sample. Different statistical approaches (e.g., uni- or multivariate statistics, machine learning) can be applied to extract useful and important information in both cases. This review aims to describe the role of metabolomics in forensic toxicology and in forensic medicine.

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