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1
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DNA damage and repair in lymphocytes of normal individuals and cancer patients: studies by the comet assay and micronucleus tests.

100%
Palyvoda O., Polańska J., Wygoda A., Rzeszowska-Wolny J.
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2003
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vol. 50
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issue 1
181-190
EN
A population study is reported in which the DNA damage induced by γ-radiation (2 Gy) and the kinetics of the subsequent repair were estimated by the comet and micronucleus assays in isolated lymphocytes of 82 healthy donors and patients with head and neck cancer before radiotherapy. The parameters of background and radiation-induced DNA damage, rate of repair, and residual non-repaired damage were measured by comet assay, and the repair kinetics for every donor were computer-fitted to an exponential curve. The level of background DNA damage before irradiation measured by comet assay as well as the level of micronuclei were significantly higher in the head and neck cancer patient group than in the healthy donors, while the parameters of repair were widely scattered in both groups. Cancer patient group contained significantly more individuals, whose irradiated lymphocytes showed high DNA damage, low repair rate and high non-repaired DNA damage level. Lymphocytes of donors belonging to this subgroup showed significantly lower inhibition of cell cycle after irradiation.
2
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Calculation of reliable transcript levels of annotated genes on the basis of multiple probe-sets in Affymetrix microarrays

100%
Jaksik R., Polańska J., Herok R., Rzeszowska-Wolny J.
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issue 2
271-277
EN
Microarray methods have become a basic tool in studies of global gene expression and changes in transcript levels. Affymetrix microarrays from the HGU133 series contain multiple probe-sets complementary to the same gene (4742 genes are represented by more than one probe-set in a microarray HGU133A). Individual probe-sets annotated to the same gene often show different hybridization signals and even opposite trends, which may result from some of them matching transcripts of more than one gene and from the existence of different splice-variant transcripts. Existing methods that redefine probe-sets and develop custom probe-set definitions use mathematical tools such as Matlab or the R statistical environment with the Bioconductor package (Gentleman et al., 2004, Genome Biol. 5: 280) and thus are directed to researchers with a good knowledge of bioinformatics. We propose here a new approach based on the principle that a probe-set which hybridizes to more than one transcript can be recognized because it produces a signal significantly different from others assigned to the particular gene, allowing it to be detected as an outlier in the group and eliminated from subsequent analyses. A simple freeware application has been developed (available at www.bioinformatics.aei.polsl.pl) that detects and removes outlying probe-sets and calculates average signal values for individual genes using the latest annotation database provided by Affymetrix. We illustrate this procedure using microarray data from our experiments aiming to study changes of transcription profile induced by ionizing radiation in human cells.
3
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High levels of bulky DNA adducts in human sperm correlate with impaired fertility.

100%
Horak S., Polańska J., Widłak P.
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2003
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vol. 50
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issue 1
197-203
EN
Progressive decline in fertility and sperm quality has been reported over the last few decades, especially in industrialized nations. It has been proposed that exposure to factors that induce damage in DNA of spermatogenic cells may significantly contribute to impaired fertility. Here, the 32P-postlabelling method was used to analyze the levels of bulky DNA adducts in sperm cells in a group of 179 volunteers, either healthy subjects or patients with an impaired fertility. The levels of DNA adducts were 1.35-fold higher in the infertile group as compared to healthy individuals (P = 0.012). Similarly, a significant negative correlation between the levels of DNA adducts and measures of semen quality (sperm concentration and motility) has been observed (P Ł 0.001). In addition, the levels of bulky DNA adducts in sperm cells positively correlates with amounts of leukocytes in semen, which were significantly higher in semen of infertile subjects.
4
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Identification of serum proteome components associated with progression of non-small cell lung cancer

52%
Pietrowska M., Jelonek K., Michalak M., Roś M., Rodziewicz P., Chmielewska K., Polański K., Polańska J., Gdowicz-Kłosok A., Giglok M., Suwiński R., Tarnawski R., Dziadziuszko R., Rzyman W., Widłak P.
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2014
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vol. 61
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issue 2
325-331
EN
The aim of the present study was to perform comparative analysis of serum from patients with different stages of non-small cell lung cancer (NSCLC) using the three complementary proteomic approaches to identify proteome components associated with the progression of cancer. Serum samples were collected before any treatment from 200 patients with NSCLC, including 103 early stage, 64 locally advanced and 33 metastatic cancer samples, and from 200 donors without malignancy. The low-molecular-weight fraction of serum proteome was MALDI-profiled in all samples. Serum proteins were characterized using 2D-PAGE and LC-MS/MS approaches in a representative group of 30 donors. Several significant differences were detected between serum samples collected from patients with early stage cancer and patients with locally advanced cancer, as well as between patients with metastatic cancer and patients with local disease. Of note, serum components discriminating samples from early stage cancer and healthy persons were also detected. In general, about 70 differentiating serum proteins were identified, including inflammatory and acute phase proteins already reported to be associated with the progression of lung cancer (serum amyloid A or haptoglobin). Several differentiating proteins, including apolipoprotein H or apolipoprotein A1, were not previously associated with NSCLC. No significant differences in patterns of serum proteome components were detected between patients with adenocarcinoma and squamous cell carcinoma. In conclusion, we identified the biomarker candidates with potential importance for molecular proteomic staging of NSCLC. Additionally, several serum proteome components revealed their potential applicability in early detection of the lung cancer.
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