GeneTiCA
LUNCH WORKSHOP (Sauvignon hall)
MONDAY, 6. 10. 2025, 13:00
Six Years of Single-Cell Transcriptomics: Lessons Learned and Future Directions
Lukas Valihrach, Pavel Abaffy
This lecture offers an overview of our six years with single-cell transcriptomics. We'll discuss method advancements, share lessons learned from our research, and highlight key biological insights. We'll also explore new directions for single-cell analysis and its future in uncovering biological complexities
HANDS-ON WORKSHOPS (Frankovka hall)
SUNDAY, 5. 10. 2025
14:00
Introduction to Single-Cell Transcriptomics Data Analysis
Pavel Abaffy
This workshop offers a practical introduction to single-cell transcriptomics data analysis. Participants will learn the fundamental steps for processing and interpreting single-cell RNA sequencing datasets. We'll discuss essential concepts and methods to help you get started with this powerful technology.
15:30
Exploring Biology with Spatial Transcriptomics
Lukas Valihrach
This lecture will introduce spatial transcriptomics, a powerful technology that enables the mapping of gene expression directly within tissue sections. It explores how these methods offer a new way to see cellular organization and function in their natural setting, changing how we understand biological processes and disease.
MONDAY, 6. 10. 2025
9:35
Targeting the interest
Daniel Nesrsta
Try to target your own section on the slide or one of prepared slides and see how well you could operate CytAssist. You will transform into the researcher doing the Visium experiment you learn how easy the operating CytAssist experiment is.
10:50
Interactive troubleshooting for Single cell Chromium platform
Daniel Nesrsta
Having problems during your experiment or seeing that your QC result is different from the example could be really stressful. Let's take a look at user troubleshooting, what can you do to try and resolve the issue or speed up the resolution of the issue and get your experiment back on the right tracks."
12:20
Spatial OMICS with 10X Genomics: closing the gap for Multiparametric Analysis in Solid Tissues
Andrés Ramírez
Spatial omics complement flow cytometry by adding spatial context often missing in conventional gene expression analyses, either bulk or sorted cells. While flow cytometry offers high-throughput phenotypic profiling, spatial omics map molecular features within intact tissues. Together, they enable deeper insights into cellular heterogeneity, interactions, and microenvironments—bridging molecular, phenotypic, and spatial data for comprehensive biological understanding"
TUESDAY, 7. 10. 2025
9:35
Spatial OMICS with 10X Genomics: closing the gap for Multiparametric Analysis in Solid Tissues
Andrés Ramírez
Spatial omics complement flow cytometry by adding spatial context often missing in conventional gene expression analyses, either bulk or sorted cells. While flow cytometry offers high-throughput phenotypic profiling, spatial omics map molecular features within intact tissues. Together, they enable deeper insights into cellular heterogeneity, interactions, and microenvironments—bridging molecular, phenotypic, and spatial data for comprehensive biological understanding"
10:50
Introduction to Single-Cell Transcriptomics Data Analysis
Pavel Abaffy
This workshop offers a practical introduction to single-cell transcriptomics data analysis. Participants will learn the fundamental steps for processing and interpreting single-cell RNA sequencing datasets. We'll discuss essential concepts and methods to help you get started with this powerful technology."