Dataset Information

HEK293 Quality Control example dataset

ABSTRACT: A simple HEK293 lysate, which can be used to benchmark the performance of both the LC system and the mass spectrometer. The four files uploaded here were aqcuired on different timepoints and show distinct LC column differences.

INSTRUMENT(S): LTQ Orbitrap Velos

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Kidney

SUBMITTER: Chris Bielow

LAB HEAD: Stefan Kempa

PROVIDER: PXD003133 | Pride | 2015-11-02

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

Items per page:

1 - 5 of 7

Publications

Proteomics Quality Control: Quality Control Software for MaxQuant Results.

Bielow Chris C Mastrobuoni Guido G Kempa Stefan S

Journal of proteome research 20151228 3

Mass spectrometry-based proteomics coupled to liquid chromatography has matured into an automatized, high-throughput technology, producing data on the scale of multiple gigabytes per instrument per day. Consequently, an automated quality control (QC) and quality analysis (QA) capable of detecting measurement bias, verifying consistency, and avoiding propagation of error is paramount for instrument operators and scientists in charge of downstream analysis. We have developed an R-based QC pipeline ...[more]

PMID: 26653327

Similar Datasets

Project description:Mostly, lactic acid bacteria (LAB), including food-spoilage-associated, grow in communities consisting of several microbial species. The interspecies interactions eventually shape the structure and global activity of a given microbial community. Generally, the knowledge on system level responses of LAB (especially food-spoilage-associated) during such interactions is very limited. To study transcriptome responses during interactions between three MAP meat-spoilage-associated LAB (Leuconostoc gelidum subsp. gasicomitatum LMG 18811T, Lactococcus piscium MKFS47 and Lactobacillus oligofermentans LMG 22743T) we grew them separately in individual cultures and in mixed cultures pairwise (three combinations) and all together (triple culture) in three replicates on a glucose-containing growth medium (MRS) under microaerobic conditions at 25 C, samples were taken at three time points (3, 5 and 11 h) and extracted RNA were sequenced. The experiments were performed in two batches. At first (batch 1), co-cultivation of Le. gelidum and Lc. piscium accompanied with their individual cultures was performed and processed. The raw RNA-seq data for the individual culture of Lc. piscium from the batch 1 were uploaded earlier and are available in the ArrayExpress database under accession number E-MTAB-3245. Later (batch 2), two other pairwise cultures (Le. gelidum + Lb. oligofermentans and Lc. piscium + Lb. oligofermentans) and the triple culture were grown together with the individual cultures of all three LAB. Designations used for the sample names: G: Le. gelidum; P: Lc. piscium; O: Lb. oligofermentans; GO, PO, PG: pairwise cultures of the corresponding species; OPG: triple culture; b1: batch 1; b2: batch 2. Example: 3G2_b1: 3 h, Le. gelidum, 2nd replicate, batch 1; 11PO3_b2: 11 h, pairwise culture of Lc. piscium and Lb. oligofermentans, 3d replicate, batch 2. One sample (5PO3_b2) had very low number of reads ~ 9000, and, therefore, was not uploaded under this project. RNA extraction and library construction were done analogously as in the study (Andreevskaya M et al., 2015. Appl. Environ. Microbiol. 81:38003811, doi: 10.1128/AEM.00320-15). Ribosomal RNA was omitted. Libraries were sequenced in five lanes using SOLiD 5500XL (Life technologies, Foster City, Ca, USA) to produce 75 bp single-end reads. For the data submission, xsq files obtained from SOLiD 5500XL machine, were converted into fastq files. Adapter sequences were removed using cutadapt 1.4.1.

			Action	DRS
	QC_20140323_1.raw	Raw
	QC_20140521_1.raw	Raw
	QC_20140521_2.raw	Raw
	QC_20140522_1.raw	Raw
	sdrf.tsv	Tabular