Genetikai polimorfizmusra alapozott rokonsági vizsgálat kukoricában = Analyses of relationships between maize genotypes on the basis of genetic polymorphism

A pályázat keretében célul tűztük ki a genetikai markerek felhasználásának bevezetését a martonvásári nemesítésű kukorica genotípusok jellemzésére, rokonsági csoportokba sorolására a nemesítési programok célirányosabb tervezéséhez. Kísérleteink alapján az alábbi eredményeket értük el: 1. martonvásári nemesítésű, és egyéb, a martonvásári hibridek szülőtörzsként felhasznált kukorica beltenyésztett törzs polimorfizmus vizsgálatát végeztük el morfológiai leírás, izoenzim-mintázat és DNS alapú módszerek - RAPD és génkapcsolt mikroszatellita (SSR) markerek - elemzése alapján. 2. Elkészítettük a 46 kukorica beltenyésztett törzs pedigré analízisét, melyben minden törzs eredetét az előállításában szereplő kiindulási populációkig vezettük vissza. 3. Elvégeztük a kukorica beltenyésztett törzsek rokonság szerinti csoportosítását a morfológiai, biokémiai és genetikai adatok szerint a polimorfizmus vizsgálatok során nyert adatok alapján. 4. Kidolgoztunk egy olyan rendszert, amelyben a morfológiai leírás mellett meghatároztuk azt az optimális biokémiai és genetikai markerszámot, illetve markerkombinációt, amelyek reális, a pedigré adatoknak megfelelő képet mutatnak a beltenyésztett törzsek rokonsági viszonyairól. Ennek segítségével lehetővé válik az ismeretlen származású beltenyésztett törzsek rokonsági csoportba sorolása, így a rendszer a nemesítési munkában a keresztezési programok tervezésének alapjául szolgálhat. | In our project we aimed the application of genetic markers for characterisation of maize inbred lines bred in Martonvásár or used as parental lines in Martonvásár hybrids, and grouping lines into related groups for planning crossing programmes. 1. We analysed of polymorphism in 46 maize inbred lines bred in Martonvásár or used as parental lines in Martonvásár hybrids, on the basis of morphological descriptions, isoenzyme patterns and analysis using DNA-based methods: RAPD and gene-linked microsatellite (SSR) markers. 2. We completed the pedigree analysis on the 46 maize inbred lines, tracing the origin of the lines back to the initial populations from which they were derived. 3. We classified maize inbred lines in related groups in terms of morphological, biochemical and genetic data, on the basis of data from polymorphism analysis. 4. We elaborated a system consisting of both morphological descriptions and of the optimum number of biochemical and genetic markers or marker combinations required to give a realistic picture of relationships between inbred lines, confirmed by the results of pedigree analysis. This would allow inbred lines of unknown origin to be classified in related groups, making the system suitable for use by breeders when planning crossing programmes

Subtype-specific KRAS mutations in advanced lung adenocarcinoma: A retrospective study of patients treated with platinum-based chemotherapy

Background: Platinum-based chemotherapy is the most common treatment in advanced-stage lung adenocarcinoma. Because the clinical significance of KRAS mutational status in this setting has not yet been clearly determined, a mutation subtype-specific analysis was performed in the so far largest cohort of Caucasian patients with KRAS mutant advanced-stage lung adenocarcinoma treated with platinum-based chemotherapy. Methods: 505 Caucasian stage III-IV lung adenocarcinoma patients with known amino acid substitution-specific KRAS mutational status and treated with platinum-based chemotherapy were included. The correlations of subtype-specific KRAS mutations with smoking status, progression-free and overall survival (PFS and OS, respectively) and therapeutic response were analysed. Results: Among 338 KRAS wild-type, 147 codon 12 mutant and 20 codon 13 mutant patients, there were no mutation-related significant differences in PFS or OS (P values were 0.534 and 0.917, respectively). Eastern Cooperative Oncology Group (ECOG) status and clinical stage were significant independent prognostic factors. KRAS mutation showed a significant correlation with smoking status (P = 0.018). Importantly, however, G12V KRAS mutant patients were significantly more frequent among never-smokers than all other codon 12 KRAS mutant (G12x) subtypes (P = 0.016). Furthermore, this subgroup tended to have a higher response rate (66% versus 47%; P = 0.077). A modestly longer median PFS was also found in the G12V mutant cohort (233 days; versus 175 days in the G12x group; P = 0.145). Conclusions: While KRAS mutation status per se is neither prognostic nor predictive in stage III-IV lung adenocarcinoma, subtype-specific analysis may indeed identify clinically relevant subgroups of patients that may ultimately influence treatment decisions. © 2014 The Authors

Exhaled Breath Condensate pH in Lung Cancer, the Impact of Clinical Factors

PURPOSE: Lung cancer may be associated with airway acidification due to enhanced airway inflammation and oxidative stress. Exhaled breath condensate (EBC) pH is a non-invasive indicator of airway acidity; however, it is still unclear how EBC pH changes in lung cancer. The aim of the study was to investigate EBC pH in lung cancer together with clinical variables. METHODS: Thirty-five patients with lung cancer and 37 control subjects (21 patients with stable COPD and 16 non-COPD smokers) were enrolled. EBC was collected for pH, which was determined with the argon-purging method, compared among the groups and correlated with clinical variables of patients with lung cancer. RESULTS: No difference was found in EBC pH between patients with lung cancer and control subjects. However, endobronchial tumour localisation, squamous-cell carcinoma subtype and gastro-oesophageal reflux were associated with low EBC pH values. No relationship was observed between EBC pH and the presence of COPD, lung function variables or smoking history. CONCLUSIONS: Although, EBC pH is unchanged in lung cancer, lower EBC pH values are associated with distinct phenotypes. Our findings could facilitate further research on airway acidity in lung cancer

Performance of the ALICE Electromagnetic Calorimeter

International audienceThe performance of the electromagnetic calorimeter of theALICE experiment during operation in 2010–2018 at the Large HadronCollider is presented. After a short introduction into the design,readout, and trigger capabilities of the detector, the proceduresfor data taking, reconstruction, and validation are explained. Themethods used for the calibration and various derived corrections arepresented in detail. Subsequently, the capabilities of thecalorimeter to reconstruct and measure photons, light mesons,electrons and jets are discussed. The performance of thecalorimeter is illustrated mainly with data obtained with test beamsat the Proton Synchrotron and Super Proton Synchrotron or inproton-proton collisions at √s = 13 TeV, and compared tosimulations

Performance of the ALICE Electromagnetic Calorimeter

The performance of the electromagnetic calorimeter of the ALICE experiment during operation in 2010-2018 at the Large Hadron Collider is presented. After a short introduction into the design, readout, and trigger capabilities of the detector, the procedures for data taking, reconstruction, and validation are explained. The methods used for the calibration and various derived corrections are presented in detail. Subsequently, the capabilities of the calorimeter to reconstruct and measure photons, light mesons, electrons and jets are discussed. The performance of the calorimeter is illustrated mainly with data obtained with test beams at the Proton Synchrotron and Super Proton Synchrotron or in proton-proton collisions at s = 13 TeV, and compared to simulations

Performance of the ALICE Electromagnetic Calorimeter

The performance of the electromagnetic calorimeter of the ALICE experiment during operation in 2010-2018 at the Large Hadron Collider is presented. After a short introduction into the design, readout, and trigger capabilities of the detector, the procedures for data taking, reconstruction, and validation are explained. The methods used for the calibration and various derived corrections are presented in detail. Subsequently, the capabilities of the calorimeter to reconstruct and measure photons, light mesons, electrons and jets are discussed. The performance of the calorimeter is illustrated mainly with data obtained with test beams at the Proton Synchrotron and Super Proton Synchrotron or in proton-proton collisions at root s = 13 TeV, and compared to simulations