Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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MRNA Expression data from A549 cell line post non-thermal plasma treatment

ABSTRACT: Although accumulated evidence suggests that NTP induces death of various cancer cell types, thus offering a promising alternative treatment, the mechanism of its therapeutic effect is little understood. To understand basic molecular and cellular mechanisms triggered by plasma treatment, we firstly investigated biological effects of helium plasma on human non-small cell lung cancer A549 cell line. The presented data of the tumor transcriptome help identifying the key players of modulated gene expression following exposure to plasma at the molecular level and interpreting the downstream process. We set several groups including 1 min plasma treatment, 3 min plasma treatment and sham control. In 1 min group, we collected samples at 4 hr postr the stimulation, and in 3 min group, the samples at 1, 2, 4 h after treatment have been collected for analysis.

ORGANISM(S): Homo sapiens

SUBMITTER: Wei Han

PROVIDER: E-GEOD-59997 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:To identify low abundance autocrine growth factors in CHO cell conditioned media, we utilized a label-free shotgun proteomics approach. CHO cell conditioned media were harvested from fed batch bioreactors and concentrated using methanol/chlorofrom precipitation. Proteins in the samples were then subjected to proteolysis with trypsin, and then subjected to primary fractionation using a SCX column, followed by RP liquid chromatography MS (LC-MS) with a LTQ Orbitrap Velos instrument using the data dependent acquisition (DDA) method. The MS system was set up and run with a method which enabled fast acquisitions of high quality peptide precursor and fragment ion data, with the desired precursor mass accuracy of ±5 ppm. For the LTQ Orbitrap Velos MS, the data-dependent MS/MS analytical workflow in positive ion mode was used. Each precursor survey scan (m/z: 300 to 1800) by the Orbitrap mass analyzer (resolution = 60,000 FWHM) was linked to 10 MS/MS events using the 2D ion trap CID approach, with dynamic ion exclusion set at 60 s. This value was determined based on the observed mean peptide chromatographic peak width. All other instrument parameters were set up according to the manufacturer’s suggested values for complex peptide samples. The nano-ESI source was fitted with a 30-µm stainless steel nano-bore emitter (Thermo Fisher Scientific) with 1.7 kV applied near the tip. Raw data files from the LTQ Orbitrap Velos MS were processed using the Proteome Discoverer 1.3 software (Thermo Fisher Scientific). The LC-MS data were searched against the human (Homo sapiens; UniProtKb, updated in August 2012, 45 848 entries), mouse (Mus musculus; UniProtKb, updated in August 2012, 31 528 entries) and chinese hamster (Cricetulus griceus; UniprotKb, updated in August 2012, 24 609 entries) protein databases using the Sequest search engine for the LTQ Orbitrap Velos LC-MS data, assuming tryptic digestion with precursor ions to fall within 10 ppm of projected m/z values and a fragment ion mass tolerance of 0.5 m/z. The specified search parameters were carbamidomethylation of cysteine as fixed modification, oxidation of methionine as dynamic modification and a maximum of two missed cleavage events. Reverse database searching resulted in a specific false discovery rate (FDR) of 1% at the peptide and protein level.

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MRNA Expression data from A549 cell line post non-thermal plasma treatment

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