Marcin Słomka

Mr. Marcin Słomka

orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 March 2023 in Nature Genetics
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NRNilufer Rahmioglu
Nilufer Rahmioglu
SMSally Mortlock
Sally Mortlock
MGMarzieh Ghiasi
Marzieh Ghiasi
PMPeter L Møller
Peter L Møller
LSLilja Stefansdottir
Lilja Stefansdottir
KZKrina Zondervan
Krina Zondervan

Verified
Journal Article
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MSMarcin Słomka
Marcin Słomka
MAMarta Sobalska-Kwapis (1st author)
Marta Sobalska-Kwapis (1st author)
MWMonika Wachulec
Monika Wachulec
Grzegorz BartoszGrzegorz Bartosz
Grzegorz Bartosz
DSDominik Strapagiel
Dominik Strapagiel
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.

1 September 2018 in Forensic Science International: Genetics
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Journal Article
Closed access
MKMagdalena Kukla-Bartoszek
Magdalena Kukla-Bartoszek
EPEwelina Pośpiech
Ewelina Pośpiech
MSMagdalena Spólnicka
Magdalena Spólnicka
JKJoanna Karłowska-Pik
Joanna Karłowska-Pik
DSDominik Strapagiel
Dominik Strapagiel
WBWojciech Branicki
Wojciech Branicki

23 September 2015 in BMC Genomic Data
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MSMarcin Słomka
Marcin Słomka
MAMarta Sobalska-Kwapis (1st author)
Marta Sobalska-Kwapis (1st author)
MKMałgorzata Korycka-Machała
Małgorzata Korycka-Machała
Grzegorz BartoszGrzegorz Bartosz
Grzegorz Bartosz
JDJaroslaw Dziadek
Jaroslaw Dziadek
DSDominik Strapagiel
Dominik Strapagiel
Multidrug resistance-associated protein 1 (MRP1), encoded by the ABCC1 gene, is an ATP-binding cassette transporter mediating efflux of organic anions and xenobiotics; its overexpression leads to multidrug resistance. In this study, 30 exons (from 31 in total) of the ABCC1 gene as well as and their flanking intron sequences were screened for genetic variation, using the High Resolution Melting (HRM) method, for 190 healthy volunteers representing the Polish population. Polymorphism screening is an indispensable step in personalized patient therapy. An additional targeted SNP verification study for ten variants was performed to verify sensitivity of the scanning method. During scanning, 46 polymorphisms, including seven novel ones, were found: one in 3’ UTR, 21 in exons (11 of them non-synonymous) and 24 in introns, including one deletion variant. These results revealed some ethnic differences in frequency of several polymorphisms when compared to literature data for other populations. Based on linkage disequilibrium analysis, 4 haplotype blocks were determined for 9 detected polymorphisms and 12 haplotypes were defined. To capture the common haplotypes, haplotype-tagging single nucleotide polymorphisms were identified. Targeted genotyping results correlated well with scanning results; thus, HRM is a suitable method to study genetic variation in this model. HRM is an efficient and sensitive method for scanning and genotyping polymorphic variants. Ethnic differences were found for frequency of some variants in the Polish population compared to others. Thus, this study may be useful for pharmacogenetics of drugs affected by MRP1-mediated efflux.

2 November 2017 in PLOS ONE
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Bogusław NedoszytkoBogusław Nedoszytko
Bogusław Nedoszytko
ASAlicja Sieminska
Alicja Sieminska
DSDominik Strapagiel
Dominik Strapagiel
SDSławomir Dąbrowski
Sławomir Dąbrowski
MSMarcin Słomka
Marcin Słomka
Leszek KalinowskiLeszek Kalinowski
Leszek Kalinowski
The mitochondrial β-oxidation of fatty acids is a complex catabolic pathway. One of the enzymes of this pathway is the heterooctameric mitochondrial trifunctional protein (MTP), composed of four α- and β-subunits. Mutations in MTP genes (HADHA and HADHB), both located on chromosome 2p23, cause MTP deficiency, a rare autosomal recessive metabolic disorder characterized by decreased activity of MTP. The most common MTP mutation is long-chain 3-hydroxyacyl-CoA dehydrogenase (LCHAD) deficiency caused by the c.1528G>C (rs137852769, p.Glu510Gln) substitution in exon 15 of the HADHA gene. We analyzed the frequency of genetic variants in the HADHA gene in the adults of Kashubian origin from North Poland and compared this data in other Polish provinces. We found a significantly higher frequency of HDHA c.1528G>C (rs137852769, p.Glu510Gln) carriers among Kashubians (1/57) compared to subjects from other regions of Poland (1/187). We found higher frequency of c.652G>C (rs71441018, pVal218Leu) polymorphism in the HADHA gene within population of Silesia, southern Poland (1/107) compared to other regions. Our study indicate described high frequency of c.1528G>C variant of HADHA gene in Kashubian population, suggesting the founder effect. For the first time we have found high frequency of rs71441018 in the South Poland Silesian population.

1 October 2017 in European Journal of Obstetrics & Gynecology and Reproductive Biology
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Journal Article
Closed access
MAMarta Sobalska-Kwapis (1st author)
Marta Sobalska-Kwapis (1st author)
BSBeata Smolarz
Beata Smolarz
MSMarcin Słomka
Marcin Słomka
TSTomasz Szaflik
Tomasz Szaflik
EKEwa Kępka
Ewa Kępka
KSKrzysztof Szyłło
Krzysztof Szyłło