Literature DB >> 22763810

Rapid DNA, RNA and protein extraction protocols optimized for slow continuously growing yeast cultures.

Kalesh Sasidharan1, Cornelia Amariei, Masaru Tomita, Douglas B Murray.   

Abstract

Conventional extraction protocols for yeast have been developed for relatively rapid-growing low cell density cultures of laboratory strains and often do not have the integrity for frequent sampling of cultures. Therefore, these protocols are usually inefficient for cultures under slow growth conditions or of non-laboratory strains. We have developed a combined mechanical and chemical disruption procedure using vigorous bead-beating that can consistently disrupt yeast cells (> 95%), irrespective of cell cycle and metabolic state. Using this disruption technique coupled with quenching, we have developed DNA, RNA and protein extraction protocols that are optimized for a large number of samples from slow-growing high-density industrial yeast cultures. Additionally, sample volume, the use of expensive reagents/enzymes, handling times and incubations were minimized. We have tested the reproducibility of our methods using triplicate/time-series extractions and compared these with commonly used protocols or commercially available kits. Moreover, we utilized a simple flow-cytometric approach to estimate the mitochondrial DNA copy number. Based on the results, our methods have shown higher reproducibility, yield and quality.
Copyright © 2012 John Wiley & Sons, Ltd.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22763810     DOI: 10.1002/yea.2911

Source DB:  PubMed          Journal:  Yeast        ISSN: 0749-503X            Impact factor:   3.239


  8 in total

1.  Investigation of an optimal cell lysis method for the study of the zinc metalloproteome of Histoplasma capsulatum.

Authors:  Anna M Donnell; Stephanie Lewis; Sami Abraham; Kavitha Subramanian; Julio Landero Figueroa; George S Deepe; Anne P Vonderheide
Journal:  Anal Bioanal Chem       Date:  2017-08-12       Impact factor: 4.142

2.  A straightforward and efficient analytical pipeline for metaproteome characterization.

Authors:  Alessandro Tanca; Antonio Palomba; Salvatore Pisanu; Massimo Deligios; Cristina Fraumene; Valeria Manghina; Daniela Pagnozzi; Maria Filippa Addis; Sergio Uzzau
Journal:  Microbiome       Date:  2014-12-10       Impact factor: 14.650

3.  Quantifying periodicity in omics data.

Authors:  Cornelia Amariei; Masaru Tomita; Douglas B Murray
Journal:  Front Cell Dev Biol       Date:  2014-08-19

4.  Similarity-Based Segmentation of Multi-Dimensional Signals.

Authors:  Rainer Machné; Douglas B Murray; Peter F Stadler
Journal:  Sci Rep       Date:  2017-09-27       Impact factor: 4.379

5.  Definition of the Minimal Contents for the Molecular Simulation of the Yeast Cytoplasm.

Authors:  Vijay Phanindra Srikanth Kompella; Ian Stansfield; Maria Carmen Romano; Ricardo L Mancera
Journal:  Front Mol Biosci       Date:  2019-10-02

6.  Temporal metabolic partitioning of the yeast and protist cellular networks: the cell is a global scale-invariant (fractal or self-similar) multioscillator.

Authors:  David Lloyd; Douglas B Murray; Miguel A Aon; Sonia Cortassa; Marc R Roussel; Manfred Beckmann; Robert K Poole
Journal:  J Biomed Opt       Date:  2018-12       Impact factor: 3.170

7.  A yeast metabolite extraction protocol optimised for time-series analyses.

Authors:  Kalesh Sasidharan; Tomoyoshi Soga; Masaru Tomita; Douglas B Murray
Journal:  PLoS One       Date:  2012-08-29       Impact factor: 3.240

8.  Nucleic acids enrichment of fungal pathogens to study host-pathogen interactions.

Authors:  Antonio Rodríguez; Brecht Guillemyn; Paul Coucke; Mario Vaneechoutte
Journal:  Sci Rep       Date:  2019-12-02       Impact factor: 4.379

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.