Project description:Generation of a new library of targeted mass spectrometry assays for accurate protein quantification in malignant and normal kidney tissue. Aliquots of primary tumor tissue lysates from 86 patients with initially localized renal cell carcinoma (RCC), 75 patients with metastatic RCC treated with sunitinib or pazopanib in the first line and 17 adjacent normal tissues treated at Masaryk Memorial Cancer Institute (MMCI) in Brno, Czech Republic, or University Hospital Pilsen (UHP), Czech Republic, were used to generate the spectral library. Two previously published datasets (dataset A and B) and two newly generated RCC datasets (dataset C and D) were analyzed using the newly generated library showing increased number of quantified peptides and proteins, depending on the size of the library and LC-MS/MS instrumentation. This PRIDE project also includes quantitative analysis results for all four datasets and raw files for dataset C and D. Dataset A is characterized in DOI: 10.1038/nm.3807. It consists of 18 samples from 9 RCC patients involving one cancer and non-cancerous sample per patient. Dataset B is characterized in DOI: 10.3390/biomedicines9091145. It consists of 16 tumor samples and 16 adjacent normal tissues from 16 mRCC patients treated at Masaryk Memorial Cancer Institute (MMCI) in Brno, Czech Republic. Dataset C involves only tumor tissues from dataset B. Half of them responded to sunitinib treatment in the first line three months after treatment initiation and half did not. Dataset D involves 16 RCC patients treated at University Hospital Pilsen (UHP), Czech Republic. All were localized at the time of initial diagnosis, half of the tumors developed distant metastasis in five years after the diagnosis.
Project description:We propose a novel approach for FPOP data analysis, utilizing DIA data. The HbHp protein complex was analyzed by FPOP and measured on timsToF SCP in DIA, DDA and MS modes. The IDs of modified peptides were quantified for each acquisition mode and the extent of modification was calculated on the level of peptides. The reproducibility was evaluated by coefficients of variation.This work was mainly financially supported by the Czech Science Foundation (22-27695S), the Technology Agency of the Czech Republic (ODEEP-EU TH86010001), the Ministry of Education, Youth and Sports of the Czech Republic grant PHOTOMACHINES - Photosynthetic cell redesign for high yields of therapeutic peptides (CZ.02.01.01/00/22_008/0004624) and the Academy of Sciences of the Czech Republic (RVO: 61388971).
Project description:Genotype data from 55 Fulani individuals from Ziniare, Burkina Faso and 7 Czechs & Slovaks collected in Prague, Czech Republic The data was typed in Illumina Omni2.5-Octo BeadChip.
Project description:Main objective is to improve colorectal cancer (CRC) screening programme in the Czech Republic and decrease the disease incidence and mortality. The secondary aim is to verify the effectiveness of incorporation of the new minimally invasive device in the prevention programme.
Project description:Despite high vaccination coverage, pertussis is on the rise in many countries including Czech Republic. To better understand B. pertussis resurgence we compared the changes in genome structures between Czech vaccine and circulating strains and subsequently, we determined how these changes translated into global transcriptomic and proteomic profiles. The whole-genome sequencing revealed that both historical and recent isolates of B. pertussis display substantial variation in genome organization and cluster separately. The RNA-seq and LC-MS/MS analyses indicate that these variations translated into discretely separated transcriptomic and proteomic profiles. Compared to vaccine strains, recent isolates displayed increased expression of flagellar genes and decreased expression of polysaccharide capsule operon. Czech strains (Bp46, K10, Bp155, Bp318 and Bp6242)exhibited increased expression of T3SS and sulphate metabolism genes when compared to Tohama I. In spite of 50 years of vaccination the Czech vaccine strains (VS67, VS393 and VS401) differ from recent isolates to a lesser extent than from another vaccine strain Tohama I.
Project description:The project is focused on the axonal forms of Charcot-Marie-Tooth (CMT) disease. We have selected 13 families (7 from Spain and 6 from Czech Republic) that have been indepth clinically assessed and previously tested for mutations in known CMT genes without causal variants characterised. In these patients we expect to discover several CMT2 genes. Thus, we requested for exome sequencing of 45 DNAs:27 exomes in families from Spain and 18 exomes in the families from Czech Republic.
This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/
Project description:The project is focused on the axonal forms of Charcot-Marie-Tooth (CMT) disease. We have selected 13 families (7 from Spain and 6 from Czech Republic) that have been indepth clinically assessed and previously tested for mutations in known CMT genes without causal variants characterised. In these patients we expect to discover several CMT2 genes. Thus, we requested for exome sequencing of 45 DNAs:27 exomes in families from Spain and 18 exomes in the families from Czech Republic.
This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/
This dataset contains all the data available for this study on 2017-08-16.
Project description:Untargeted metabolomics data generated for the above publication for 13 lowland willows in Czech Republic and Austria. Extraction and methods are reported in Leong et al. (Accepted) and Sedio et al. 2021 Frontiers in Ecology and Evolution, https://doi.org/10.3389/fevo.2021.679638 [doi:10.25345/C59Z90N8R] [dataset license: CC0 1.0 Universal (CC0 1.0)].