Project description:Deciphering typical and atypical chronic lymphocytic leukemia genomics. DNA was isolated from peripheral blood leucocyte samples of each patient using the QIAamp kit in order to compare typical and atypical chronic lymphocytic leukemia patients using Agilent Whole Human Genome 44K and 244K microarrays.
Project description:Leishmania (Viannia) braziliensis is the main etiological agent of cutaneous and mucocutaneous leishmaniasis in Latin America. Reports have described non-ulcerated atypical tegumentary leishmaniasis cases caused by L. braziliensis in several regions of the world, including in patients from the Xacriabá Indigenous reserve, in São João das Missões/Minas Gerais - Brazil. Parasites isolated from these atypical clinical lesions have previously been found to be resistant to antimony-based therapeutics. In the present study, proteins displaying differential abundance in 2 strains of L. braziliensis isolated from patients with atypical lesions compared with 4 strains isolated from patients with typical lesions were identified using a quantitative proteomics approach based on tandem mass tag labeling (TMT) and mass spectrometry. A total of 532 (p value <0.05) differentially abundant proteins were identified (298 up-regulated and 234 down-regulated) in strains from atypical lesions compared to strains from typical lesions. We observed a variety of proteins with differential abundance among the studied strains. Prominent positively regulated in atypical strains included proteins which may confer a greater survival inside the macrophage, proteins related to resistance to antimony and higher peroxidase activity. Also were identified proteins suggest as new drug and vaccines target. Our data contribute to characterization of these intriguing L. braziliensis strains, and sheds new light on ACL cases has been associated with therapeutic failures.
Project description:We have performed comparative transcriptome profile from lymphoblastoid cell lines from four Williams-Beuren syndrome patients and two patients with partial deletions of the region. The goal was to find deregulated genes specifically in WBS versus atypical deletions, and to determine the biological pathways affected in WBS patients.
Project description:Genomic profiles of CLL (Chronic Lymphocytic Leukemia) patients. 11 CLL patients were selected for detection of genomic aberrations, 8 patients with atypical CLL and 3 patients with typical CLL.
Project description:We have performed comparative transcriptome profile from lymphoblastoid cell lines from four Williams-Beuren syndrome patients and two patients with partial deletions of the region. The goal was to find deregulated genes specifically in WBS versus atypical deletions, and to determine the biological pathways affected in WBS patients. 6 samples were hybridized twice each: once labeled with Cy5 and once labeled with Cy3 (dye-swap). Each sample was hybridized against a pool of five controls of the same gender.
Project description:Transcriptomics of NIH-3T3 cells treated with typical or atypical RARa modulators to evaluate genetic changes induced by chemical modification of RARa signalling
Project description:RNA-Seq analysis of atypical chronic myeloid leukemia samples We sequenced leukemic mRNA from 13 Atypical Cronic Mieloid Leukemia (aCML) samples by Illumina GAIIx. Transcriptomic profiles, differentially expressed genes and pathway enrichment analysis were obtained comparing 7 SETBP1-mutated samples and 6 non-mutated (WT) samples by using TopHat aligner and SAMMate gene expression quantifier. We focused on the gene expression profile of known coding transcripts. A dataset of 20,907 protein-coding Ensembl Genes was obtained from the RNA-Seq by using the Human Ensembl GTF annotation file vs54 dowloaded from ftp://ftp.ensembl.org/pub/release-54/gtf/homo_sapiens/.
Project description:Using gene expression data we developed a predictive signture to discriminate between typical bacterial, atyipcal bacterial, and viral pnuemonia in murine samples and validated it against open source human datasets.
Project description:in the current study we identified a miRNAs signature able to discriminate between typical and atypical endometrial hyperplasia the identification of molecular marker that can differentiate between these two distinct pathological conditions is highly considered to be useful for the clinical management of the patients, owing to the fact that hyperplasia with atypical change is associated with higher risk of develop cancer.