scholarly journals High throughput screening of complex biological samples with mass spectrometry – from bulk measurements to single cell analysis

The Analyst ◽  
2019 ◽  
Vol 144 (3) ◽  
pp. 872-891 ◽  
Author(s):  
Emily E. Kempa ◽  
Katherine A. Hollywood ◽  
Clive A. Smith ◽  
Perdita E. Barran
Keyword(s):  
Mass Spectrometry ◽  
Sample Preparation ◽  
High Throughput ◽  
High Throughput Screening ◽  
Single Cell Analysis ◽  
State Of The Art ◽  
Cell Analysis ◽  
Biotechnological Applications ◽  
Biological Matrices ◽  
Minimal Sample

We review the state of the art in HTS using mass spectrometry with minimal sample preparation from complex biological matrices. We focus on industrial and biotechnological applications.

scholarly journals A beginner’s guide to mass spectrometry–based proteomics

2020 ◽  
Vol 42 (5) ◽  
pp. 64-69
Author(s):  
Ankit Sinha ◽  
Matthias Mann
Keyword(s):  
Analytical Chemistry ◽  
Mass Spectrometry ◽  
Data Analysis ◽  
Sample Preparation ◽  
Single Cell Analysis ◽  
Clinical Applications ◽  
Preparation Process ◽  
Cell Analysis ◽  
Analysis Strategies ◽  
Quantitative Profiling

Mass spectrometry (MS)-based proteomics is the most comprehensive approach for the quantitative profiling of proteins, their interactions and modifications. It is a challenging topic as a firm grasp requires expertise in biochemistry for sample preparation, analytical chemistry for instrumentation and computational biology for data analysis. In this short guide, we highlight the various components of a mass spectrometer, the sample preparation process for conversion of proteins into peptides, and quantification and analysis strategies. The advancing technology of MS-based proteomics now opens up opportunities in clinical applications and single-cell analysis.

scholarly journals New mass spectrometry technologies contributing towards comprehensive and high throughput omics analyses of single cells

The Analyst ◽  
2019 ◽  
Vol 144 (3) ◽  
pp. 794-807 ◽  
Author(s):  
Sneha P. Couvillion ◽  
Ying Zhu ◽  
Gabe Nagy ◽  
Joshua N. Adkins ◽  
Charles Ansong ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Single Cell ◽  
High Throughput ◽  
Single Cell Analysis ◽  
Single Cells ◽  
Cell Analysis

We provide a vision for integrating pioneering mass spectrometry technologies for future applications in single cell analysis.

scholarly journals Cyto-Mine: An Integrated, Picodroplet System for High-Throughput Single-Cell Analysis, Sorting, Dispensing, and Monoclonality Assurance

2020 ◽  
Vol 25 (2) ◽  
pp. 177-189 ◽  
Author(s):  
Dimitris Josephides ◽  
Serena Davoli ◽  
William Whitley ◽  
Raphael Ruis ◽  
Robert Salter ◽  
...  
Keyword(s):  
Single Cell ◽  
Cell Line ◽  
High Throughput ◽  
Cell Sorting ◽  
High Throughput Screening ◽  
Single Cell Analysis ◽  
Microtiter Plate ◽  
Cell Analysis ◽  
Fully Integrated ◽  
Clonal Cell Lines

The primary goal of bioprocess cell line development is to obtain high product yields from robustly growing and well-defined clonal cell lines in timelines measured in weeks rather than months. Likewise, high-throughput screening of B cells and hybridomas is required for most cell line engineering workflows. A substantial bottleneck in these processes is detecting and isolating rare clonal cells with the required characteristics. Traditionally, this was achieved by the resource-intensive method of limiting dilution cloning, and more recently aided by semiautomated technologies such as cell sorting (e.g., fluorescence-activated cell sorting) and colony picking. In this paper we report on our novel Cyto-Mine Single Cell Analysis and Monoclonality Assurance System, which overcomes the limitations of current technologies by screening hundreds of thousands of individual cells for secreted target proteins, and then isolating and dispensing the highest producers into microtiter plate wells (MTP). The Cyto-Mine system performs this workflow using a fully integrated, microfluidic Cyto-Cartridge. Critically, all reagents and Cyto-Cartridges used are animal component-free (ACF) and sterile, thus allowing fast, robust, and safe isolation of desired cells.

High-Throughput Affinity Selection Mass Spectrometry Using SAMDI-MS to Identify Small-Molecule Binders of the Human Rhinovirus 3C Protease

2021 ◽  
pp. 247255522110232
Author(s):  
Michael D. Scholle ◽  
Doug McLaughlin ◽  
Zachary A. Gurard-Levin
Keyword(s):  
Mass Spectrometry ◽  
Drug Discovery ◽  
High Throughput ◽  
High Throughput Screening ◽  
Human Rhinovirus ◽  
Binding Potential ◽  
Affinity Selection ◽  
Response Curves ◽  
Desorption Ionization ◽  
Self Assembled

Affinity selection mass spectrometry (ASMS) has emerged as a powerful high-throughput screening tool used in drug discovery to identify novel ligands against therapeutic targets. This report describes the first high-throughput screen using a novel self-assembled monolayer desorption ionization (SAMDI)–ASMS methodology to reveal ligands for the human rhinovirus 3C (HRV3C) protease. The approach combines self-assembled monolayers of alkanethiolates on gold with matrix-assisted laser desorption ionization time-of-flight (MALDI TOF) mass spectrometry (MS), a technique termed SAMDI-ASMS. The primary screen of more than 100,000 compounds in pools of 8 compounds per well was completed in less than 8 h, and informs on the binding potential and selectivity of each compound. Initial hits were confirmed in follow-up SAMDI-ASMS experiments in single-concentration and dose–response curves. The ligands identified by SAMDI-ASMS were further validated using differential scanning fluorimetry (DSF) and in functional protease assays against HRV3C and the related SARS-CoV-2 3CLpro enzyme. SAMDI-ASMS offers key benefits for drug discovery over traditional ASMS approaches, including the high-throughput workflow and readout, minimizing compound misbehavior by using smaller compound pools, and up to a 50-fold reduction in reagent consumption. The flexibility of this novel technology opens avenues for high-throughput ASMS assays of any target, thereby accelerating drug discovery for diverse diseases.

scholarly journals Accelerating organic solar cell material's discovery: high-throughput screening and big data

2021 ◽  
Author(s):  
Xabier Rodríguez-Martínez ◽  
Enrique Pascual-San-José ◽  
Mariano Campoy-Quiles
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
High Throughput ◽  
Organic Solar Cells ◽  
High Throughput Screening ◽  
Organic Solar Cell ◽  
State Of The Art ◽  
Review Article ◽  
Machine Learning Algorithms ◽  
Device Optimization

This review article presents the state-of-the-art in high-throughput computational and experimental screening routines with application in organic solar cells, including materials discovery, device optimization and machine-learning algorithms.

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