BEGIN:VCALENDAR VERSION:2.0 PRODID:-// - ECPv6.6.3//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-ORIGINAL-URL:https://www.biomed.cas.cz X-WR-CALDESC:Akce na REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:Europe/Prague BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20250330T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20251026T010000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;VALUE=DATE:20251201 DTEND;VALUE=DATE:20251204 DTSTAMP:20260419T053416 CREATED:20251107T103704Z LAST-MODIFIED:20251107T103704Z UID:2438-1764547200-1764806399@www.biomed.cas.cz SUMMARY:Course on scRNA-seq Data Analysis - IMG DESCRIPTION:Single-cell RNA sequencing (scRNA-seq) allows researchers to study gene expression at the level of individual cells. This approach can\, for example\, help to identify different cell populations in a complex sample and describe their expression patterns. To generate and analyse scRNA-seq data\, several methods are available\, all with their strengths and weaknesses depending on the researchers’ needs. This 3-day course will cover the main technologies as well as the main aspects to consider while designing an scRNA-seq experiment. In particular\, it will combine the theoretical background of analytical methods with hands-on data analysis sessions focused on data generated by droplet-based platforms.\n\nBy the end of the course\, participants will possess the following abilities:\n • Distinguish advantages and pitfalls of scRNA-seq.\n • Design their own scRNA-seq experiment\, using common technologies like 10× Genomics.\n • Apply quality control (QC) measures and utilise analysis tools to preprocess scRNA-seq data.\n • Apply normalisation\, scaling\, dimensionality reduction\, integration and clustering on scRNA-seq data using R.\n • Differentiate between cell annotation techniques to identify and characterise cell populations.\n • Use differential gene expression analysis methods on scRNA-seq data to gain biological insights.\n • Select enrichment analysis methods appropriate to the biological question and data.\n • Develop an scRNA-seq data analysis workflow from raw count matrix to differential gene expression with peer support and light guidance.\n\nMore information and registration at https://www.elixir-czech.cz/events/course-on-scrna-seq-data-analysis-2025\n\nOn behalf of the organisers\,\n\nMichal Kolář\n\n—\nLaboratory of Genomics and Bioinformatics\nInstitute of Molecular Genetics of the Czech Academy of Sciences\nVidenska 1083\n142 20 Prague 4\nCzech Republic\n\nPhone +420 241 063 412\nEmail kolarmi@img.cas.cz URL:https://www.biomed.cas.cz/event/course-on-scrna-seq-data-analysis-img/ LOCATION:Posluchárna 0.195 / Lecture room 0.195 ORGANIZER;CN="%C3%9AMG":MAILTO:leona.krausova@img.cas.cz END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Prague:20251203T150000 DTEND;TZID=Europe/Prague:20251203T160000 DTSTAMP:20260419T053416 CREATED:20251124T135541Z LAST-MODIFIED:20251124T135541Z UID:2463-1764774000-1764777600@www.biomed.cas.cz SUMMARY:Seminář Tomáš Venit DESCRIPTION:“Nuclear myosin 1 – from gene to function” \nMitochondria play a vital role in cellular metabolism by generating energy through oxidative phosphorylation (OXPHOS) in most somatic cells. However\, highly proliferative\, undifferentiated pluripotent stem cells and cancer cells mainly rely on aerobic glycolysis for energy production. Recently\, we reported that nuclear myosin 1 (NM1) functions as a tumor suppressor and a key regulator of cellular metabolism\, directly controlling the expression of the mitochondrial transcription factors TFAM and Pgc1α. Its deletion alters mitochondrial structure\, reduces OXPHOS gene expression\, induces a metabolic shift toward aerobic glycolysis\, and promotes tumor formation in mice. In this talk\, I will move from tumor development to somatic tissues and share our latest findings from phenotyping NM1 knockout mice. URL:https://www.biomed.cas.cz/event/seminar-tomas-venit/ LOCATION:Posluchárna Milana Haška / Milan Hašek Auditorium ORGANIZER;CN="%C3%9AMG":MAILTO:leona.krausova@img.cas.cz END:VEVENT END:VCALENDAR