47 research outputs found
Biobank Łódź® – population based biobank at the University of Łódź, Poland
Biobank Laboratory of the University of Łódź is a unit in the organizational structure of the De- partment of Molecular Biophysics at the Faculty of Biology and Environmental Protection. It was established in 2014 as one of the results of the TESTOPLEK project. One of the main goals of the unit is to collect and share biological material of human origin and related clinical and survey data. Moreover, Biobank Laboratory conducts work in the field of genetics and molecular biology on human biological material. Biobank Laboratory gathers over 40.000 samples such as DNA, FFPE, saliva, together with their data. Data about its material is available for researchers in directories e.g. BBMRI-ERIC Directory 4.0. Since 2014, the unit belongs to the national Consortium BBMRI.pl, and since 2017 it executes a project entitled Research Infrastructure for Biobanks and Biomolecular Resources BBMRI-ERIC, co-creating the Polish Network of Biobanks. Biobank Laboratory is focused on coopera- tion with domestic and foreign scientific institutions and medical units, as well as entities from the local, business and public sector
Digoxin, an Overlooked Agonist of RORγ/RORγT
Digoxin was one of the first identified RORγT receptor inverse agonists inhibiting the differentiation of Th17 cells. However, this compound exhibits inhibitory activity at relatively high concentrations that mediate cytotoxic effects. We previously identified several cardenolides that are structurally similar to digoxin that were able to induce RORγ/RORγT-dependent transcription. These observations encouraged us to reanalyze the effects of digoxin on RORγ/RORγT-dependent transcription at low, noncytotoxic concentrations. Digoxin induced RORγ/RORγT-dependent transcription in HepG2 and Th17 cells. Furthermore, analysis of the transcriptomes of Th17 cells cultured in the presence of digoxin revealed the induction of the expression of numerous Th17-specific genes, including IL17A/F, IL21, IL22, IL23R, CCR4, and CCR6. Thus, our study, which includes data obtained from intact cells, indicates that digoxin, similar to other cardenolides, is a potent RORγ/RORγT receptor activator and that its structure may serve as a starting point for the design of dedicated molecules that can be used in the development of adoptive cell therapy (ACT)
rs67047829 genotypes of ERV3-1/ZNF117 are associated with lower body mass index in the Polish population
There is now substantial evidence that zinc-finger proteins are implicated in adiposity. Aims were to datamine for high-frequency (near-neutral selection) pretermination-codon (PTC) single-nucleotide polymorphisms (SNPs; n = 141) from a database with > 550,000 variants and analyze possible association with body mass index in a large Polish sample (n = 5757). BMI was regressed (males/females together or separately) against genetic models. Regression for rs67047829 uncovered an interaction-independent association with BMI with both sexes together: mean ± standard deviation, kg/m2: [G];[G], 25.4 ± 4.59 (n = 3650); [G](;)[A], 25.0 ± 4.28 (n = 731); [A];[A], 23.4 ± 3.60 (n = 44); additive model adjusted for age and sex: p = 4.08 × 10–5; beta: − 0.0458, 95% confidence interval (CI) − 0.0732 : − 0.0183; surviving Bonferroni correction; for males: [G];[G], 24.8 ± 4.94 (n = 1878); [G](;)[A], 24.2 ± 4.31 (n = 386); [A];[A], 22.4 ± 3.69 (n = 23); p = 4.20 × 10–4; beta: − 0.0573, CI − 0.0947 : − 0.0199. For average-height males the difference between [G];[G] and [A];[A] genotypes would correspond to ~ 6 kg, suggesting considerable protection against increased BMI. rs67047829 gives a pretermination codon in ERV3-1 which shares an exonic region and possibly promoter with ZNF117, previously associated with adiposity and type-2 diabetes. As this result occurs in a near-neutral Mendelian setting, a drug targetting ERV3-1/ZNF117 might potentially provide considerable benefits with minimal side-effects. This result needs to be replicated, followed by analyses of splice-variant mRNAs and protein expression.The POPULOUS database was the outcome of the project TESTOPLEK which was funded by the Innovative Economy Operational Programme provided by the European Regional Development Fund 2007–2013. This source had no involvement in the study other than funding for the database
The genetic basis of endometriosis and comorbidity with other pain and inflammatory conditions
Endometriosis is a common condition associated with debilitating pelvic pain and infertility. A genome-wide association study meta-analysis, including 60,674 cases and 701,926 controls of European and East Asian descent, identified 42 genome-wide significant loci comprising 49 distinct association signals. Effect sizes were largest for stage 3/4 disease, driven by ovarian endometriosis. Identified signals explained up to 5.01% of disease variance and regulated expression or methylation of genes in endometrium and blood, many of which were associated with pain perception/maintenance (SRP14/BMF, GDAP1, MLLT10, BSN and NGF). We observed significant genetic correlations between endometriosis and 11 pain conditions, including migraine, back and multisite chronic pain (MCP), as well as inflammatory conditions, including asthma and osteoarthritis. Multitrait genetic analyses identified substantial sharing of variants associated with endometriosis and MCP/migraine. Targeted investigations of genetically regulated mechanisms shared between endometriosis and other pain conditions are needed to aid the development of new treatments and facilitate early symptomatic intervention
The genetic basis of endometriosis and comorbidity with other pain and inflammatory conditions
Endometriosis is a common condition associated with debilitating pelvic pain and infertility. A genome-wide association study meta-analysis, including 60,674 cases and 701,926 controls of European and East Asian descent, identified 42 genome-wide significant loci comprising 49 distinct association signals. Effect sizes were largest for stage 3/4 disease, driven by ovarian endometriosis. Identified signals explained up to 5.01% of disease variance and regulated expression or methylation of genes in endometrium and blood, many of which were associated with pain perception/maintenance (SRP14/BMF, GDAP1, MLLT10, BSN and NGF). We observed significant genetic correlations between endometriosis and 11 pain conditions, including migraine, back and multisite chronic pain (MCP), as well as inflammatory conditions, including asthma and osteoarthritis. Multitrait genetic analyses identified substantial sharing of variants associated with endometriosis and MCP/migraine. Targeted investigations of genetically regulated mechanisms shared between endometriosis and other pain conditions are needed to aid the development of new treatments and facilitate early symptomatic intervention
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Analiza polimorfizmów genetycznych oraz identyfikacja wariantów i regionów genomu związanych z rozwojem nadmiernej masy ciała w populacji polskiej
Nadwaga i otyłość stanowią złożone zaburzenia o poligenicznej architekturze. Genetyczne podłoże nadwagi i otyłości obejmuje setki a nawet miliony wariantów genetycznych (SNP), z których każdy ma niewielki wpływ na ryzyko tej choroby. Ustalenie genetycznych uwarunkowań otyłości wielogenowej stanowi w dalszym ciągu cel dużych badań międzyośrodkowych.
W bieżącej pracy przeprowadzono badania asocjacyjne całego genomu (GWAS), towarzyszącą im analizę PheGWAS oraz badania asocjacyjne całego transkryptomu (TWAS), w celu zidentyfikowania wariantów i potwierdzenia powiązań genotyp – fenotyp związanych z nadmierną masą ciała w populacji polskiej. W tym celu, przeprowadzono trzy niezależne GWAS obejmujące > 500 000 i >1 700 000 polimorfizmów pojedynczego nukleotydu (SNP) zlokalizowanych na przestrzeni całego genomu z wykorzystaniem mikromacierzy firmy Illumina: Infinium Core Exome i Infinium Multi-Ethnic. Analizy te wykonano na trzech kohortach pochodzenia polskiego: jednej dziecięcej, DZ (N = 431) i dwóch dorosłych (N=350), wydzielonych ze względu na zastosowaną mikromacierz (CE, ME). GWAS przeprowadzono w każdej z badanych grup dla trzech różnych cech związanych z nadmierną masą ciała: BMI [kg/m2] wyznaczonego na drodze pomiarów antropometrycznych oraz masy tłuszczowej FM [kg] i kąta fazowego PA [°] wyznaczonych za pomocą impedancji bioelektrycznej (BIA). W każdym GWAS uwzględniono również interakcję SNP z płcią.1. „TESTOPLEK – Rola transporterów oporności wielolekowej w farmakokinetyce i toksykologii – testy in vitro w praktyce farmaceutycznej i klinicznej”. Projekt POIG.01.01.02-10-005/08 współfinansowany przez Unię Europejską z Europejskiego Funduszu Rozwoju Regionalnego
2. „Cyfrowe udostępnianie zasobów biomolekularnych i opisowych Biobanku i Katedry Antropologii Uniwersytetu Łódzkiego – charakterystyka populacji zamieszkujących tereny dzisiejszej Polski na przestrzeni dziejów. Platforma informacyjna e-Czlowiek.pl”. Projekt POPC.02.03.01-00-0012/17 współfinansowany przez Unię Europejską w ramach Programu Operacyjnego Polska Cyfrowa
3. „Utworzenie sieci biobanków w Polsce w obrębie Infrastruktury Badawczej Biobanków i Zasobów Biomolekularnych BBMRI-ERIC”, na podstawie Decyzji Ministra Nauki i Szkolnictwa Wyższego nr DIR/WK/2017/01
High Resolution Melting (HRM) for High-Throughput Genotyping—Limitations and Caveats in Practical Case Studies
High resolution melting (HRM) is a convenient method for gene scanning as well as genotyping of individual and multiple single nucleotide polymorphisms (SNPs). This rapid, simple, closed-tube, homogenous, and cost-efficient approach has the capacity for high specificity and sensitivity, while allowing easy transition to high-throughput scale. In this paper, we provide examples from our laboratory practice of some problematic issues which can affect the performance and data analysis of HRM results, especially with regard to reference curve-based targeted genotyping. We present those examples in order of the typical experimental workflow, and discuss the crucial significance of the respective experimental errors and limitations for the quality and analysis of results. The experimental details which have a decisive impact on correct execution of a HRM genotyping experiment include type and quality of DNA source material, reproducibility of isolation method and template DNA preparation, primer and amplicon design, automation-derived preparation and pipetting inconsistencies, as well as physical limitations in melting curve distinction for alternative variants and careful selection of samples for validation by sequencing. We provide a case-by-case analysis and discussion of actual problems we encountered and solutions that should be taken into account by researchers newly attempting HRM genotyping, especially in a high-throughput setup
Identification of Novel Molecular Markers of Human Th17 Cells
Th17 cells are important players in host defense against pathogens such as Staphylococcus aureus, Candida albicans, and Bacillus anthracis. Th17 cell-mediated inflammation, under certain conditions in which balance in the immune system is disrupted, is the underlying pathogenic mechanism of certain autoimmune disorders, e.g., rheumatoid arthritis, Graves’ disease, multiple sclerosis, and psoriasis. In the present study, using transcriptomic profiling, we selected genes and analyzed the expression of these genes to find potential novel markers of Th17 lymphocytes. We found that APOD (apolipoprotein D); C1QL1 (complement component 1, Q subcomponent-like protein 1); and CTSL (cathepsin L) are expressed at significantly higher mRNA and protein levels in Th17 cells than in the Th1, Th2, and Treg subtypes. Interestingly, these genes and the proteins they encode are well associated with the function of Th17 cells, as these cells produce inflammation, which is linked with atherosclerosis and angiogenesis. Furthermore, we found that high expression of these genes in Th17 cells is associated with the acetylation of H2BK12 within their promoters. Thus, our results provide new information regarding this cell type. Based on these results, we also hope to better identify pathological conditions of clinical significance caused by Th17 cells