Project description:Capitalizing on the massive increase in sample concentrations which are produced by extremely low elution volumes, nano-LC-ESI-MS/MS is currently the most sensitive analytical technology for the comprehensive characterization of complex protein samples. However, despite tremendous technological improvements made in the production and the packing of monodisperse spherical particles for nano-flow HPLC, current state-of-the-art systems still suffer from limits in operation at the maximum potential of the technology. With the recent introduction of the µPAC system, which provides perfectly ordered micro-pillar array based chromatographic support materials, completely new chromatographic concepts for optimization towards the needs of ultra-sensitive proteomics become available. Here we report on a series of benchmarking experiments comparing the performance of a commercially available 50 cm micro-pillar array column to a widely used nano-flow HPLC column for the proteomics analysis of 10 ng tryptic HeLa cell digest. Comparative analysis of LC-MS/MS-data corroborated that micro-pillar array cartridges provide outstanding chromatographic performance and excellent retention time stability, which substantially increase sensitivity in the analysis of low-input proteomics samples, and thus repeatedly yielded almost twice as many unique peptide and unique protein group identifications when compared to conventional nano-flow HPLC columns.
Project description:Gene expression analysis of Arabidopsis cDNA comprising control diploid wild type (col) with progeny of Ex-TAQing treaded (Ex-TAQed) diploid strain. Ex-TAQed plant was introduced of MseI restriction enzyme gene and activation of MseI by heat treated for 3 hours at 33ºC.
Project description:Classification of a large micro-array dataset. Algorithm comparison and analysis of drug signatures. These data support the publication titled "Classification of a large micro-array dataset. Algorithm comparison and analysis of drug signatures.". Some of the calculations in the publication were derived from an older version of the data available at http://www.iconixpharm.com Copyright (c) 2005 by Iconix Pharmaceuticals, Inc. Guidelines for commercial use: http://www.iconixbiosciences.com/guidelineCommUse.pdf Keywords: other
Project description:In the light of the ongoing single-cell revolution, scientific disciplines are combining forces with the ultimate goal to retrieve as much relevant data as possible from trace amounts of biological material. For single cell proteomics, this implies optimizing the entire workflow from initial cell isolation down to sample preparation, LC separation, MS/MS data acquisition and data analysis. To demonstrate the potential for single cell and limited sample proteomics, we report on a series of benchmarking experiments where we combine LC separation on a new generation of micro pillar array columns with state-of-the-art Orbitrap MS/MS detection and FAIMS. As compared to the currently commercially available pillar array columns, this dedicated limited sample column has a reduced cross section (factor of 2) and micro pillar dimensions that have been further downscaled (also by a factor of 2; 2.5 µm instead of 5 µm diameter), resulting in improved chromatography at reduced void times. A dilution series ranging from 5 to 0.05 ng/µL was prepared using trace amounts of PEG in the sample solvent to reduce adsorptive effects in the autosampler vial, sample stability up to 24h after dilution was demonstrated. Comparative processing of the MS/MS data with different database search algorithms (with and without second search feature activated and with and without rescoring based on fragmentation pattern prediction) pointed out the benefits of using Sequest HT together with INFERYS when analyzing samples at a concentration below 1 ng/µL. On average (data from quadruplicate runs), we were able to successfully identify 2855 unique protein groups from just 1 ng of HeLa lysate and this using a 60 min non-linear LC solvent gradient at a flow rate of 250 nL/min, hereby increasing detection sensitivity as compared to a previous contribution by a factor well above 10 (2436 proteins identified from 10 ng of HeLa lysate in 2019). By successfully identifying 1486 and 2210 proteins (average values, quadruplicates) from as little as 250 and 500 pg of HeLa lysate respectively, we demonstrate outstanding sensitivity with great promise for use in limited sample proteomics workflows.
Project description:Pelvic organ prolapse (POP) is a common multifactorial disease in a heterogeneous population of women. Due to this heterogeneity, the underlying molecular mechanisms contributing to the pathogenesis of POP are still unclear. We sought to identify dysregulated pathways by comparing gene expression profiles of prolapsed and non- prolapsed anterior vaginal wall tissue within the same patient. Biopsies were collected from 12 premenopausal women undergoing prolapse surgery (cystocele POP-Q stage ≥ 2). A full thickness anterior vaginal wall sample was taken from the POP site during anterior colporrhaphy. An additional sample was taken from the non-prolapsed apex of the anterior vaginal cuff. Micro-array analysis was performed using whole genome GE 4x44K microarrays. Beside a significance analysis of micro-array (SAM), also a visual cluster analysis was performed.
Project description:In this study, eighty tumor samples from 63 patients with renal cell carcinoma (RCC)-end-stage renal disease (ESRD) were analyzed by array comparative genomic hybridization (array CGH) using the Agilent Whole Human Genome 4×44K Oligo Micro Array.
Project description:au07-04_vip1 - per8::vip micro-array - VIP1 early targets - estradiol-induced expression of VIP1-YFP and VIP1_D-YFP; 3h estradiol treatment. First comparison: non-induced versus induced. Second comparison: VIP1 lines versus YFP control line Keywords: treated vs untreated comparison
Project description:We performed transcriptome analysis using an Agilent Arabidopsis ver.3 44k Microarray (Palo Alto, CA, USA) to profile effect of NMN treatment in uninoculated leaves and inoculated leaves with F. graminearum.