Proteomics

Dataset Information

0

Metaproteomics: Optimization and evaluation of protein extraction from activated sludge


ABSTRACT: Metaproteomic studies of full-scale activated sludge systems require reproducible protein extraction methods. A systematic evaluation of three different extractions protocols, each in combination with three different methods of cell lysis, and a commercial kit were evaluated. Criteria used for comparison of each method included the extracted protein concentration and the number of identified proteins and peptides as well as their phylogenetic, cell localization and functional distribution and quantitative reproducibility. Furthermore, the advantage of using specific metagenomes and a 2-step database approach was illustrated. The results recommend a protocol for protein extraction from activated sludge based on the protein extraction reagent B-Per and bead beating.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Environmental Samples

SUBMITTER: Florian-Alexander Herbst  

LAB HEAD: Per Halkjær Nielsen

PROVIDER: PXD000862 | Pride | 2014-08-15

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
FAH_SludgeExtr_A_SO_1.raw Raw
FAH_SludgeExtr_A_SO_2.raw Raw
FAH_SludgeExtr_A_SO_3.raw Raw
FAH_SludgeExtr_B_BB_1.raw Raw
FAH_SludgeExtr_B_BB_2.raw Raw
Items per page:
1 - 5 of 14
altmetric image

Publications

Metaproteomics: Evaluation of protein extraction from activated sludge.

Hansen Susan Hove SH   Stensballe Allan A   Nielsen Per Halkjaer PH   Herbst Florian-Alexander FA  

Proteomics 20141002 21-22


Metaproteomic studies of full-scale activated sludge systems require reproducible protein extraction methods. A systematic evaluation of three different extractions protocols, each in combination with three different methods of cell lysis, and a commercial kit were evaluated. Criteria used for comparison of each method included the extracted protein concentration and the number of identified proteins and peptides as well as their phylogenetic, cell localization and functional distribution and qu  ...[more]

Similar Datasets

| PRJNA556302 | ENA
2014-12-03 | GSE63781 | GEO
| PRJNA668760 | ENA
2014-12-03 | E-GEOD-63781 | biostudies-arrayexpress
| PRJNA807872 | ENA
| PRJNA562789 | ENA
2022-02-23 | PXD011917 | Pride
| PRJNA430952 | ENA
| PRJNA282558 | ENA
| PRJNA717159 | ENA