Combinatorial processes have been widely applied to many disciplines in chemistry and biology. The vast numbers of unique entities generated by combinatorial synthesis have led to the development of high-throughput methods for characterizing samples, to avoid bottlenecks created by the application of conventional, serial-based analytical techniques. In recent years, high-throughput and novel methods utilizing mass spectrometry, multiplexed capillary electrophoresis, various forms of optical detection, and even sound waves have been investigated for a variety of applications.
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http://dx.doi.org/10.1016/j.cbpa.2004.03.001 | DOI Listing |
Adv Biotechnol (Singap)
February 2024
National Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for Research and Development of Fine Chemicals, Guizhou University, Guiyang, China.
Alternative splicing (AS) significantly enriches the diversity of transcriptomes and proteomes, playing a pivotal role in the physiology and development of eukaryotic organisms. With the continuous advancement of high-throughput sequencing technologies, an increasing number of novel transcript isoforms, along with factors related to splicing and their associated functions, are being unveiled. In this review, we succinctly summarize and compare the different splicing mechanisms across prokaryotes and eukaryotes.
View Article and Find Full Text PDFAnal Chem
January 2025
Department of Food Science and Nutrition, The Hong Kong Polytechnic University, Hong Kong 999077, China.
Sample pretreatment for mass spectrometry (MS)-based metabolomics and lipidomics is normally conducted independently with two sample aliquots and separate matrix cleanup procedures, making the two-step process sample-intensive and time-consuming. Herein, we introduce a high-throughput pretreatment workflow for integrated nontargeted metabolomics and lipidomics leveraging the enhanced matrix removal (EMR)-lipid microelution 96-well plates. The EMR-lipid technique was innovatively employed to effectively separate and isolate non-lipid small metabolites and lipids in sequence using significantly reduced sample amounts and organic solvents.
View Article and Find Full Text PDFAnal Chem
January 2025
Waters Corporation, 34 Maple St., Milford, Massachusetts 01757, United States.
Therapeutic drugs and multivalent vaccines based on the delivery of mRNA via lipid nanoparticle (LNP) technologies are expected to dominate the biopharmaceutical industry landscape in the coming years. Many of these innovative therapies include several nucleic acid components (e.g.
View Article and Find Full Text PDFAcc Mater Res
January 2025
School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30322, United States.
Increasing demand for high-purity fine chemicals and a drive for process intensification of large-scale separations have driven significant work on the development of highly engineered porous materials with promise for sorption-based separations. While sorptive separations in porous materials offer energy-efficient alternatives to longstanding thermal-based methods, the particulate nature of many of these sorbents has sometimes limited their large-scale deployment in high-throughput applications such as gas separations, for which the necessary high feed flow rates and gas velocities accrue prohibitive operational costs. These processability limitations have been historically addressed through powder shaping methods aimed at the fabrication of structured sorbent contactors based on pellets, beads or monoliths, commonly obtained as extrudates.
View Article and Find Full Text PDFDiabetes Metab Syndr Obes
January 2025
Department of Obstetrics, The Affiliated Taian City Central Hospital of Qingdao University, Taian, People's Republic of China.
Purpose: This study aims to identify key genes that may be involved in the pathogenesis of gestational diabetes mellitus and to preliminarily elucidate the underlying mechanisms.
Methods: High-throughput transcriptome sequencing was employed to identify Differentially expressed genes (DEGs) in placental tissue samples of GDM and normal pregnant women. Functional and pathway analyses of these DEGs were conducted using bioinformatics databases.
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