DEVELOPMENT AND VALIDATION OF A RP-HPLC METHOD FOR THE ESTIMATION OF TOLPERISONE HYDROCHLORIDE IN BULK AND PHARMACEUTICAL DOSAGE FORM

A rapid, specific and sensitive reverse phase high performance liquid chromatographic (RP-HPLC) method was developed for the determination of Tolperisone Hydrochloride (TOLP) in bulk and tablet dosage form. The method involved an isocratic elution of TOLP on C 18 column (250 X 4.6 mm,

Vysokodimenzionální jednobuněčná cytometrie pro analýzu imunitního systému

Technologický pokrok umožnil nástup nových technologií jednobuněčné analýzy, které jsou schopné současně měřit velký počet buněčných funkcí a vlastností. Tyto technologie byly následně použity k objasnění heterogenity buněčných systémů dříve považovaných za homogenní a pro identifikaci charakteristických vlastností jednotlivých buněk v jejich nikách. Technologie pro studium jednotlivých buněk dnes představují důležitý nástroj pro výzkum imunologických mechanismů, které jsou podstatou různých onemocnění. V této souvislosti je cytometrie jednou z mnoha vysoce výkonných metod schopných prozkoumat více než 50 znaků na jedné buňce. Využití plného potenciálu cytometrie však vyžaduje vývoj optimalizovaného panelu. Výsledná mnohadimenzionální data navíc představují výzvu pro existující výpočetní techniku. Tato práce se pokouší tyto výzvy řešit. První část práce je zaměřena na vývoj nelineárního algoritmu založeného na vkládání vysoko dimenzionálních uzlů do 2D prostoru pro rychlou analýzu cytometrických dat s názvem EmbedSOM. V porovnání s jinými nejmodernějšími algoritmy vykazuje EmbedSOM vyšší rychlost zpracování. To je zásadní pro analýzu velkých datových souborů s miliony buněk. Kromě toho má EmbedSOM další funkce, jako je možnost provádět vkládání uzlů na základě významných bodů, tzv. "landmarks",...Technological advancement allowed for the advent of single-cell technologies capable of measuring a large number of cellular features simultaneously. These technologies have been subsequently used to shed light on the heterogeneity of cellular systems previously considered homogeneous, identifying the exclusive features of individual cells within cellular niches. Today, single-cell technologies represent an essential tool for studying the underlying immunological mechanisms correlating with disease. In this context, cytometry is one of the diverse high-throughput methods capable of examining more than 50 features per cell. However, utilising cytometry at its full potential requires the development of optimized assays. Additionally, the resulting high-dimensional data represent a challenge for existing computational techniques. This thesis attempts to address these challenges. The first part of the thesis is focused on developing a non-linear embedding algorithm for rapid analysis of cytometry datasets called EmbedSOM. The comparison of EmbedSOM with other state-of-the-art algorithms suggested the superiority of EmbedSOM with faster runtime. This is critical for the analysis of large datasets with millions of cells. Furthermore, EmbedSOM has additional functionality such as landmark guided...Department of Genetics and MicrobiologyKatedra genetiky a mikrobiologieFaculty of SciencePřírodovědecká fakult

Online) An Open Access

ABSTRACT Wetlands of the many areas of kachchh region are reduced day to day by the natural processes as well as developmental activities and as a result the population of birds depend upon these wetlands are under threat. This paper was attempted to assess the composition of avifauna in Lakhara, a fragmented wetland inside the Kachchh Biosphere Reserve. Regular survey was made in year 2009 to observe and identifying the avifauna using standard field guide and field equipments. A total of 57 species of bird recorded during the whole survey period and their feeding and threatened status was also analyzed. A good number of birds recorded in Lakhara wetland in spite of the small area. Most of the recorded birds of this wetland were belong to the Least Concern category of IUCN red list, 2010 and Schedule IV of the Indian Wildlife (Protection) Act, 1972. Lakhara wetland is also proved to be an important bird area of Kachchh for conservation aspects

Characterization of the input material quality for the production of tisagenlecleucel by multiparameter flow cytometry and its relation to the clinical outcome

Tisagenlecleucel (tisa-cel) is a CD19-specific CAR-T cell product approved for the treatment of relapsed/refractory (r/r) DLBCL or B-ALL. We have followed a group of patients diagnosed with childhood B-ALL (n = 5), adult B-ALL (n = 2), and DLBCL (n = 25) who were treated with tisa-cel under non-clinical trial conditions. The goal was to determine how the intensive pretreatment of patients affects the produced CAR-T cells, their in vivo expansion, and the outcome of the therapy. Multiparametric flow cytometry was used to analyze the material used for manufacturing CAR-T cells (apheresis), the CAR-T cell product itself, and blood samples obtained at three timepoints after administration. We present the analysis of memory phenotype of CD4/CD8 CAR-T lymphocytes (CD45RA, CD62L, CD27, CD28) and the expression of inhibitory receptors (PD-1, TIGIT). In addition, we show its relation to the patients’ clinical characteristics, such as tumor burden and sensitivity to prior therapies. Patients who responded to therapy had a higher percentage of CD8+CD45RA+CD27+ T cells in the apheresis, although not in the produced CAR-Ts. Patients with primary refractory aggressive B-cell lymphomas had the poorest outcomes which was characterized by undetectable CAR-T cell expansion in vivo. No clear correlation of the outcome with the immunophenotypes of CAR-Ts was observed. Our results suggest that an important parameter predicting therapy efficacy is CAR-Ts’ level of expansion in vivo but not the immunophenotype. After CAR-T cells’ administration, measurements at several timepoints accurately detect their proliferation intensity in vivo. The outcome of CAR-T cell therapy largely depends on biological characteristics of the tumors rather than on the immunophenotype of produced CAR-Ts

Research trends of Lean Construction and its compliance with Toyota Production System for year 2016

Lean construction tools and researches roots back to Toyota Production System (TPS). There are very few studies available which analyses lean construction literature regarding TPS principles to identify its compliance and also not many studies stretches the overview of researches published in lean construction.The purpose of this study was to structurally organize the International Group of Lean Construction (IGLC) conference proceedings and examine its compliance towards Toyota Production System (TPS). The adopted methodology was content analysis by reviewing 123 research papers published by IGLC in year 2016. Literature review revealed that construction should be considered as flows and process to identify and eliminate waste for successful lean implementation. Various types of waste, their origins in construction and causes are discussed to apply relevant lean principle as a solution from production industry. Tools mentioned in the IGLC studies are discussed briefly. Six step research was carried out to conduct Content Analysis on IGLC studies constructing various categories. This categorization summarized into a single table and from this table various charts generated representing trends in lean construction with the help of Microsoft Excel software. The results of analysis suggested that overall 54% lean construction research followed TPS framework completely. The Last Planner System (22%) is most common used lean tool followed by Lean Project Delivery (21%) and West Reduction (9%) amon others. The researches which followed TPS were classified into four main categories of TPS framework (Philosophy (15%), Process (69%), People & Partners (4%), and Problem Solving (13%)) and others (50%) were assigned Non-TPS categories according to their context. Further trends are presented in form of charts like Case Study research (43%) & literature research (24%). The findings are compared to similar study in past to add time aspect in lean research trends. This result provides guidance to future researchers in Lean Construction about demanding research areas in construction like human aspects of lean and suggests not to limit their work for only particular sectors of construction like Building Construction (40%) & Infrastructural works (5%). Results can also be used as a reference to avoid duplication of work which is already explored and to develop those works a step further

High-dimensional single cell cytometry approach for immune system analysis

Technological advancement allowed for the advent of single-cell technologies capable of measuring a large number of cellular features simultaneously. These technologies have been subsequently used to shed light on the heterogeneity of cellular systems previously considered homogeneous, identifying the exclusive features of individual cells within cellular niches. Today, single-cell technologies represent an essential tool for studying the underlying immunological mechanisms correlating with disease. In this context, cytometry is one of the diverse high-throughput methods capable of examining more than 50 features per cell. However, utilising cytometry at its full potential requires the development of optimized assays. Additionally, the resulting high-dimensional data represent a challenge for existing computational techniques. This thesis attempts to address these challenges. The first part of the thesis is focused on developing a non-linear embedding algorithm for rapid analysis of cytometry datasets called EmbedSOM. The comparison of EmbedSOM with other state-of-the-art algorithms suggested the superiority of EmbedSOM with faster runtime. This is critical for the analysis of large datasets with millions of cells. Furthermore, EmbedSOM has additional functionality such as landmark guided..