Synopsis

• Effectively utilizing single-cell RNA-Seq to elucidate tumor heterogeneity
• Identifying epigenetic drivers of gene expression heterogeneity in cancer using single-cell RNA-Seq
• Efficiently analyzing and integrating transcriptional and epigenetic data in cancer genomics research

Synopsis

• Improving understanding of cellular heterogeneity in the context of disease progression
• Identification of cell differentiation with relevance to homeostasis and disease pathogenesis
• Analyzing the discovery of detailed cellular phenotypes to drive target identification and therapeutic discovery

Synopsis

• Harnessing split pool synthesis combinatorial chemistry as an alternative approach in single-cell sequencing to barcode billions of cells without cellular isolation
• Understanding how to successfully integrate split pool synthesis into a single-cell RNA-Seq pipeline
• Applying this revolutionary protocol in a disease specific context

Synopsis

• Utilizing RNA-Seq in cancer drug discovery will be reviewed with applications to target discovery, undercovering mechanisms of resistance, and providing insight into predictive markers for response to therapy
• Analyzing future directions and new applications including liquid biopsies, rare cell populations and poor quality tissue

Synopsis

• Integration internal and external RNA-Seq data, such as GTEx and ENCODE, through consistent data processing and cross-linking
• Multi-tier management of different RNA-Seq data types and access levels
• Application of integrative RNA-Seq analysis to drug discovery, especially in various aspects of target identification and validation

Synopsis

• The design, manufacture and validation of synthetic genes for bioinformatics analysis of gene expression, transcript assembly and fusion gene diagnostics
• Comprehensive analysis of human chromosome 21: detailing the full extent of transcriptome size and complexity
• Identification of fundamental distinctions between coding and non-coding gene organisation, splicing and evolution

Synopsis

Addressing RNA integrity and endogenous RNAse expression in the upper sections of the GI tract

Defining functional compartments of the GI tract through utilization of gene expression patterns

Studying the correlation between specific mRNA expression levels and attachment of gut microflora

Synopsis

• Utilizing RNA-Seq to Study Protein-RNA interactions
• Understanding how RNA-Seq can be used to study the impact of differential exon expression on protein function
• Employing RNA-Seq in conjunction with other sequencing methods for the identification and observation of protein-RNA interactions in subcellular detail

Synopsis

Josh Kaminker, Senior Scientist, Bioinformatics & Computational Biology, Genentech

Synopsis

• Evaluating RNA sequencing technologies and bioinformatic tools that resolve transcriptome complexity
• Debating the functional importance of pervasive transcription, long noncoding RNAs, and isoform diversity generated by extensive alternative splicing
• Discussing the role of transcriptome complexity in evolution, development and disease

Synopsis

• How many cells do you need? – e.g. What are the drivers of the quantity of single cells you need to look at for your experiment
• Single Cell RNA Seq Bioinformatics
• The power of full length transcript RNAseq – e.g. when to run full length transcript vs 3’ end counting to answer you biological questions

Benjamin Lacar, Product Applications Specialist II, Fluidigm
Manisha Ray, Strategic Alliance Manager, Fluidigm
Michael Gonzales, Senior Applications Specialist, Fluidigm
Camila Egidio, Senior Scientist, Fluidigm