Day 4 Agenda

Goals

Morning session: Single-cell transcriptomics with long-reads

  • Learn the differences between bulk experiments and single-cell experiments (library preparation and data)
  • Understand the different steps involved in going from Long Sequencing Reads to gene and isoform matrices.
  • Learn the basics of tertiary analysis for single cell data with focus on long-read specific steps.

Afternoon session: Metatranscriptomics

  • Provide participants with a comprehensive understanding of the metatranscriptomics workflow
  • Introduce practical skills for analyzing long-read metatranscriptomic data
  • Highlight the challenges and considerations unique to environmental metatranscriptomics

Timetable

Time Activity Details  
09:00 - 09:15 Introduction & Objectives Eamon: Introduction  
09:15 - 09:30 Long-Read Single-cell Library Preparation Fran: Differences between bulk library preparation and single-cell library preparation.  
09:30 - 10:00 Preprocessing and QC Fran: Commercial analysis pipelines available, overview of the analysis steps and additional tools available.  
10:00 - 10:30 Coffee Break Break  
10:30 - 11:00 Tertiary analysis Eamon: Filtering, QC, cell typing, gene level analysis, isoform level analysis.  
11:00 - 12:30 Hands-on Eamon and Fran: 1) Iso-Seq pipeline overview: commands, intermediate files and report. 2) Tertiary analysis: exploring differential isoform usage across different cell types.  
12:30 - 13:30 Lunch Break Lunch and informal networking  
13:30 - 13:40 Introduction & Objectives Carmen: Welcome participants, overview of the workshop goals and structure. Learning outcomes and expectations.  
13:40 - 14:00 Introduction to Metatranscriptomics Carmen: What is metatranscriptomics? Difference with classical transcriptomics, applications, short vs long reads, challenges (rRNA contamination, read orientation issues, incomplete annotations)  
14:00 - 15:00 Metatranscriptomics workflow Carmen: Understand all steps of the metatranscriptomic workflow: Experimental design, RNA extraction and purification, library preparation (prokaryotic vs eukaryotic), RNASeq, Filtering and QC, Downstream analysis (mapping and quantification, taxonomic classification, functional annotation).  
15:00 - 15:30 Coffee Break & Group Discussion Break and open discussion  
15:30 - 15:45 Practical Setup & Dataset Overview Carmen: Description of environmental samples, sequencing platform used, introduction to data files, preview of analysis tasks.  
15:45 - 16:15 Task 1: Carmen: Pre-processing metatranscriptomic reads.  
16:15 - 16:30 Q&A Break Open discussion, troubleshooting, clarification of Task1.  
16:30 - 17:00 Task 2 & 3: Mapping, Taxonomic assignation and Functional analysis Carmen: Mapping metatranscriptomic reads, handling alignment files, perform taxonomic assignation and functional analysis.  

Learning Outcomes

Morning session: Single-cell and spatial transcriptomics with long reads

  • Identify and understand differences between bulk and single-cell protocols
  • Understand single-cell analysis pipeline steps

Afternoon session: Metatranscriptomics

  • Explore applications of metatranscriptomics in environmental studies
  • Understand what is metatranscriptomics workflow from RNA extraction to data interpretation
  • Recognize challenges and biases regarding metatranscriptomics
  • Perform quality control of raw metatranscriptomic reads
  • Explore taxonomic diversity in different communities and characterise active functions

Materials

Data

  • Gupta, P., O’Neill, H., Wolvetang, E.J., Chatterjee, A., Gupta, I., 2024. Advances in single-cell long-read sequencing technologies. NAR Genomics and Bioinformatics 6, lqae047. https://doi.org/10.1093/nargab/lqae047
  • Heumos, L., Schaar, A.C., Lance, C., Litinetskaya, A., Drost, F., Zappia, L., Lücken, M.D., Strobl, D.C., Henao, J., Curion, F., Schiller, H.B., Theis, F.J., 2023. Best practices for single-cell analysis across modalities. Nat Rev Genet 24, 550–572. https://doi.org/10.1038/s41576-023-00586-w
  • Peimbert, M. and Alcaraz, L. D. A hitchhiker’s guide to metatranscriptomics. Field Guidelines for Genetic Experimental Designs in High-Throughput Sequencing (2016). https://doi.org/10.1007/978-3-319-31350-4_13

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