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The MAS 5.0 is a laboratory equipment product offered by Thermo Fisher Scientific. It is designed to perform automated sample preparation and analysis. The core function of the MAS 5.0 is to automate various laboratory processes, such as sample handling, mixing, and measurement, to improve efficiency and consistency in data collection.

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20 protocols using mas 5

1

Expression Profiling of Human Samples

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Human gene expression data, along with accompanying sample descriptions, was purchased from GeneLogic (GeneLogic Division, Ocimum Biosolutions, Inc.) in 2006, and later organized by sample type. Gene expression data for each sample had been determined using mRNA amplification protocols as recommended by Affymetrix (Affymetrix, Inc.) and subsequently hybridized to the Affymetrix U133_plus2 chip. Purchased data was subject to reported quality control measures including ratios for ACTB and GAPDH, as well as maximal scale factors as reported by Affymetrix MAS 5.0. Expression data was normalized using MAS5.0 with a target intensity of 150.
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2

Affymetrix HU6800 Gene Expression Data

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Gene expression profiles were from Affymetrix HU6800 chips (7,129 genes) from a previously published study [22 (link)]. These are publicly available as supplemental data to the published study. The gene expression data had been previously preprocessed using the Affymetrix MAS 5.0 algorithm in average difference units. Negative expression values were set to zero and the chips were normalized to the same mean intensity. Specific cell lines used are listed in Supplemental Table 1 in Supplementary Material available online at https://doi.org/10.1155/2017/6576840.
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3

Neural Progenitor Cell Profiling

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RNA isolation and microarray analysis was done as described [20 (link), 24 (link)]. Briefly, the neural aggregates at D10 for the formation of rosettes and at D15 (5 days after re-plating the rosette clusters for the expansion of neural precursor cells) were used for total RNA isolation by using RNeasy mini kit (Qiagen, Valencia, CA). RNA purity and concentration was determined by NanoDrop, ND-1000 spectrophotometer (Thermo Scientific, Indianapolis, IN) and microfluidics-based platform 2100 Bioanalyzer (Agilent Technologies, Santa Clara, CA). Samples in biological duplicate were hybridized to Affymetrix Human Genome Plus 2.0 (Cat. No. 900469). Standard quality control metrics recommended by Affymetrix including image quality, signal distribution and pair wise scatter plots were used for all arrays. Mas5.CHP files were generated for each array by MAS 5.0 (Affymetrix, Santa Clara, CA) and combined to a final RESULTS.MAS5.TXT file [20 (link), 24 (link)].
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4

Microarray Analysis of E. coli Gene Expression

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For microarrays, standard methods were used for cDNA synthesis, fragmentation, and terminal biotin labeling based on Affymetrix protocols. Labeled cDNA was hybridized to the Affymetrix E. coli Genome 2.0 array. Hybridized arrays were stained with streptavidin-phycoerythrin using an Affymetrix Fluidic Station. After staining, arrays were scanned with an Affymetrix GeneChip Scanner 3000 based on the total signal intensity. The resulting microarray data were analyzed using Affymetrix software (MAS 5.0). Consensus “detection p-values”, “change p-values”, and “mean expression ratios” were calculated. All signal intensities with mean expression ratios above 2 were considered significant changes if the p-value was below 0.05. Complete microarray data have been deposited in the Gene Expression Omnibus (GEO) database under accession number GSE37780.
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5

Affymetrix HG-U133A 2.0 Array Quality Assessment

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Biological duplicate samples were hybridized to Affymetrix Human Genome Plus 2.0 (Cat.# 900469). We set target intensity (TGT) at 500. The sensitivity of the system was measured by %P using the 3’ biased Affymetrix HG-U133A 2.0 arrays. %P ranged from 41.1 to 45.1 % demonstrating the ability to detect a large number of transcripts across a wide range of abundance. All 24 arrays were assessed for recommended standard quality control metrics by Affymetrix including image quality, signal distribution and pair wise scatter plots and passed. mas5.CHP files were generated for each array by MAS 5.0 (Affymetrix, Santa Clara, CA) and combined to a final RESULTS.MAS5.TXT file.
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6

Comparative Analysis of LMO2 Expression in AML

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Three transcriptome data sets of AML patients, including TCGA,20 GSE1035821 and GSE1159,22 were used to compare the expression of LMO2 between APL and non‐APL patient samples. To perform interarray comparison, the CEL files were analysed by Affymetrix MAS 5.0 software (Affymetrix, Santa Clara, CA, USA). Two‐tailed t‐tests were used to validate the significance of the observed differences, which were considered statistically significant when P < 0.05.
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7

Embryonic Stem Cell Transcriptome Analysis

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Independent biological replicates of WT (n = 2), calr−/− (n = 5), and calr truncation mutants NP (n = 3) and PC (n = 3) were cultured on 0.1 % gelatin-coated 10 cm dishes in 7.5 % FBS in DMEM supplemented with L-glutamine, NEAA, penicillin/streptomycin, LIF, and BME. Media was changed regularly every 24 or 48 h. Cells reaching ~80 % confluency were passaged 1:10 to maintain proliferative undifferentiated state of all cell lines, as previously performed [18 (link)]. Total RNA isolation from embryonic stem cells was performed using the Micro-to-Midi Total RNA Purification System (Invitrogen, Carlsbad, CA) for analysis of transcriptome dynamics. Double stranded complementary cDNA and labeled complementary cRNA were obtained from isolated total RNA, with the latter hybridized against the Mouse 430 2.0 GeneChip (Affymetrix). Arrays were scanned using an argon-ion laser, and visualized using MAS 5.0 Affymetrix software to assess quality of hybridization. Data were deposited to the Gene Expression Omnibus (GEO) repository under accession number GSE13805, with relevant updates.
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8

Endometrial Cancer Transcriptome Analysis

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The clinicopathological parameters of the cohort are summarised in Figure S5E,F. The GEO dataset GSE17025 [54 (link)] with heterogeneous distribution of grade and histological subtypes of EC cases (n = 91), was analysed. The GEOquery package [55 (link)] of R was used to retrieve the expression matrices and clinicopathological parameters of the datasets, the expression data of GSE17025 was normalised to a target intensity of 500 using Affymetrix’s MAS5.0 and was log2 transformed. Tumour grade 1 and 2 were grouped as low, grade 3 as high in the analysis.
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9

Transcriptional Profiling of Pseudomonas Mutants

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PAO1, PAO1(p19), ΔbswR and ΔbswR(bswR) cultures were grown overnight in LB medium. Bacterial cells were then diluted to OD600 of 0.05 and grown at 37°C with shaking at 250 rpm. When OD600 reached ∼1.0, cells were harvested and total RNAs were extracted with RNeasy Protect Bacteria Mini kit (Qiagen). DNA contaminants were removed by DNase I. The quality of purified RNAs was analyzed by electrophoresis and quantified by Nanodrop 1000 Spectrophotometer (NanoDrop Technologies). Reverse transcription, fragmentation and complementary DNA labeling were conducted as described by the manufacturer (Affymetrix). The processed samples were hybridized to the Affymetrix GeneChip of P. aeruginosa, and chips were washed, scanned and analyzed following the instructions from the manufacturer. Hybridization signals were processed using the statistics software MAS-5.0 from Affymetrix.
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10

Affymetrix Transcriptome Analysis Protocol

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Biological duplicate samples were hybridized to Affymetrix Human Genome Plus 2.0 (Cat.# 900469). We set target intensity (TGT) at 500. The sensitivity of the system was measured by %P using the 3’ biased Affymetrix HG-U133A 2.0 arrays. %P ranged from 46.5 to 48.8 % demonstrating the ability to detect a large number of transcripts across a wide range of abundance. All 18 arrays were assessed for recommended standard quality control metrics by Affymetrix including image quality, signal distribution and pair wise scatter plots and passed. mas5.CHP files were generated for each array by MAS 5.0 (Affymetrix) and combined to a final RESULTS.MAS5.TXT file.
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