A review on acoustic droplet ejection technology and system

Soft Matter ◽  
2021 ◽  
Author(s):  
Qing Guo ◽  
Xiao Su ◽  
Xingguo Zhang ◽  
Mengchuan Shao ◽  
Haixia Yu ◽  
...  
Keyword(s):  
Sample Preparation ◽  
Biological Research ◽  
Detection Systems ◽  
Liquid Handling ◽  
Droplet Ejection ◽  
System P ◽  
Handling Method

The pace of change in chemical and biological research enabled by improved detection systems demands fundamental liquid handling and sample preparation changes. The acoustic droplet ejection (ADE)-based liquid handling method...

Automated Chloroform-Methanol Protein Extraction on the Biomek-FX Liquid Handler System v2

2022 ◽  
Author(s):  
Yan Chen ◽  
Tad Ogorzalek ◽  
Nurgul Kaplan Lease ◽  
Jennifer Gin ◽  
Christopher J Petzold
Keyword(s):  
Sample Preparation ◽  
Protein Extraction ◽  
Tryptic Digestion ◽  
Gram Negative ◽  
Protein Quantitation ◽  
System P ◽  
Automated Protocol ◽  
Chloroform Methanol ◽  
Extract Protein

This protocol details steps to extract protein from Gram-negative bacterial or fungal cells (that have been pretreated with zymolyase) in quantitative proteomic workflows by using a Biomek FX liquid handler system. It is a semi-automated protocol that includes several 'pause' steps for centrifugation steps that are conducted manually "off-deck". This protocol works best as part of an automated proteomic sample preparation workflow with: Automated Protein Quantitation with the Biomek-FX liquid handler system and Automated Protein Normalization and Tryptic Digestion on a Biomek-NX Liquid Handler System

scholarly journals Unlocking the efficiency of genomics laboratories with robotic liquid-handling

BMC Genomics ◽  
2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Houriiyah Tegally ◽  
James Emmanuel San ◽  
Jennifer Giandhari ◽  
Tulio de Oliveira
Keyword(s):  
Next Generation Sequencing ◽  
Sample Preparation ◽  
Return On Investment ◽  
State Of The Art ◽  
Cost Effective ◽  
Laboratory Automation ◽  
Liquid Handling ◽  
Do It Yourself ◽  
Next Generation Sequencing Ngs ◽  
Generation Sequencing

Abstract In research and clinical genomics laboratories today, sample preparation is the bottleneck of experiments, particularly when it comes to high-throughput next generation sequencing (NGS). More genomics laboratories are now considering liquid-handling automation to make the sequencing workflow more efficient and cost effective. The question remains as to its suitability and return on investment. A number of points need to be carefully considered before introducing robots into biological laboratories. Here, we describe the state-of-the-art technology of both sophisticated and do-it-yourself (DIY) robotic liquid-handlers and provide a practical review of the motivation, implications and requirements of laboratory automation for genome sequencing experiments.

scholarly journals A Genome for the Environment

2017 ◽  
Author(s):  
Dieter Ebert
Keyword(s):  
Phenotypic Plasticity ◽  
Natural History ◽  
Germ Cells ◽  
Model System ◽  
National Institutes Of Health ◽  
Model Systems ◽  
Model Organisms ◽  
Biological Research ◽  
System P ◽  
A Genome

Water fleas of the genus Daphnia are among the oldest model systems in biological research. Today, we know more about their natural history and ecology than of any other taxon. The Daphnia model also has left a notable mark on other fields. élie Metchnikoff used Daphnia to test his 1908 Nobel prize–winning idea that macrophages attack invading parasites as part of cellular immunity. August Weismann's studies of water fleas were instrumental in developing his theory that only germ cells transmit heritable information in animals. Richard Woltereck used Daphnia to develop the notion of phenotypic plasticity—that an organism can change its characteristics in response to the environment—an idea that still guides experiments with many organisms that distinguish genetic from environmental effects. With all of these historical achievements, why did the National Institutes of Health (NIH) only recently add Daphnia to its list of model organisms for biomedical research? Moreover, why has Daphnia, at this point in time, become NIH's 13th model system?

Automated Chloroform-Methanol Protein Extraction on the Biomek-FX Liquid Handler System v1

2020 ◽  
Author(s):  
Yan Chen ◽  
Tad Ogorzalek ◽  
Nurgul Kaplan Lease ◽  
Jennifer Gin ◽  
Christopher J Petzold
Keyword(s):  
Sample Preparation ◽  
Protein Extraction ◽  
Tryptic Digestion ◽  
Gram Negative ◽  
Protein Quantitation ◽  
System P ◽  
Automated Protocol ◽  
Chloroform Methanol ◽  
Extract Protein

This protocol details steps to extract protein from Gram-negative bacterial or fungal cells (that have been pretreated with zymolyase) in quantitative proteomic workflows by using a Biomek FX liquid handler system. It is a semi-automated protocol that includes several 'pause' steps for centrifugation steps that are conducted manually "off-deck". This protocol works best as part of an automated proteomic sample preparation workflow with: Automated Protein Quantitation with the Biomek-FX liquid handler system and Automated Protein Normalization and Tryptic Digestion on a Biomek-NX Liquid Handler System

Automated Protein Normalization and Tryptic Digestion on a Biomek-NX Liquid Handler System v2

2022 ◽  
Author(s):  
Yan Chen ◽  
Tad Ogorzalek ◽  
Nurgul Kaplan Lease ◽  
Jennifer Gin ◽  
Christopher J Petzold
Keyword(s):  
Sample Preparation ◽  
Protein Extraction ◽  
Tryptic Digestion ◽  
Protein Quantitation ◽  
System P ◽  
Chloroform Methanol

This protocol details steps to normalize the amount of protein for tryptic digestion in quantitative proteomic workflows by using a Biomek NX liquid handler system. It is optimized to normalize protein concentrations in a 96-well plate format and add TCEP, IAA, and trypsin. This protocol works best as part of a semi-automated proteomic sample preparation workflow with: Automated Chloroform-Methanol Protein Extraction on the Biomek-FX Liquid Handler System and Automated Protein Quantitation with the Biomek-FX liquid handler system

scholarly journals A smartphone controlled handheld microfluidic liquid handling system

Lab on a Chip ◽  
2014 ◽  
Vol 14 (20) ◽  
pp. 4085-4092 ◽  
Author(s):  
Baichen Li ◽  
Lin Li ◽  
Allan Guan ◽  
Quan Dong ◽  
Kangcheng Ruan ◽  
...  
Keyword(s):  
Sandwich Immunoassay ◽  
Human Intervention ◽  
Handling System ◽  
Liquid Handling ◽  
System P

A smartphone-controlled microfluidic liquid handling system capable of performing all the liquid handling steps of a sandwich immunoassay without any human intervention.

scholarly journals Hitting the target: fragment screening with acousticin situco-crystallization of proteins plus fragment libraries on pin-mounted data-collection micromeshes

2014 ◽  
Vol 70 (5) ◽  
pp. 1177-1189 ◽  
Author(s):  
Xingyu Yin ◽  
Alexander Scalia ◽  
Ludmila Leroy ◽  
Christina M. Cuttitta ◽  
Gina M. Polizzo ◽  
...  
Keyword(s):  
Data Collection ◽  
High Speed ◽  
Screening Strategy ◽  
Specimen Preparation ◽  
Fragment Screening ◽  
Liquid Handling ◽  
Droplet Ejection ◽  
Crystallization Experiments ◽  
Single Data ◽  
Fragment Libraries

Acoustic droplet ejection (ADE) is a powerful technology that supports crystallographic applications such as growing, improving and manipulating protein crystals. A fragment-screening strategy is described that uses ADE to co-crystallize proteins with fragment libraries directly on MiTeGen MicroMeshes. Co-crystallization trials can be prepared rapidly and economically. The high speed of specimen preparation and the low consumption of fragment and protein allow the use of individual rather than pooled fragments. The Echo 550 liquid-handling instrument (Labcyte Inc., Sunnyvale, California, USA) generates droplets with accurate trajectories, which allows multiple co-crystallization experiments to be discretely positioned on a single data-collection micromesh. This accuracy also allows all components to be transferred through small apertures. Consequently, the crystallization tray is in equilibrium with the reservoir before, during and after the transfer of protein, precipitant and fragment to the micromesh on which crystallization will occur. This strict control of the specimen environment means that the crystallography experiments remain identical as the working volumes are decreased from the few microlitres level to the few nanolitres level. Using this system, lysozyme, thermolysin, trypsin and stachydrine demethylase crystals were co-crystallized with a small 33-compound mini-library to search for fragment hits. This technology pushes towards a much faster, more automated and more flexible strategy for structure-based drug discovery using as little as 2.5 nl of each major component.

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