On Monday and Tuesday April 19–20, 2021, the ERCC will host a free online workshop on exRNA data analysis. There are three target audiences: experimentalists generating exRNA-seq data, computational and data scientists who have worked with those groups to analyze their data, and other interested data scientists. Our goal is to foster an open dialog about best practices and open problems in exRNA data analysis, focusing mainly on small exRNA sequencing data. Data scientists will gain domain knowledge about exRNA and the unique features to consider when analyzing exRNA data. Experimentalists will learn more about the bioinformatic tools available to them. We hope the interaction between the two communities will increase understanding and foster collaboration.
Participation in the workshop is free. Sessions will run from noon to 5pm US Eastern time both days. Registered participants will receive Zoom call-in information shortly before the meeting. Stay tuned to this page for details!
Session 1) Introduction: Open Problems in exRNA Data Analysis | |||
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12:00 – 12:10 | Roger Alexander | Extracellular RNA Communication Consortium | Workshop Introduction |
12:10 – 12:35 | Rob Kitchen | Massachusetts General Hospital and Harvard Medical School | Open Problems in exRNA Data Analysis |
12:35 – 12:50 | Juan Pablo Tosar | Institut Pasteur de Montevideo, Uruguay | Non-coding RNA Annotations |
Session 2) exRNA Data Sources | |||
1:00 – 1:20 | Matt Roth | Baylor College of Medicine | The exRNA Atlas |
1:20 – 1:35 | Pieter Mestdagh | OncoRNAlab, Cancer Research Institute Ghent | The Human Biofluid RNA Atlas |
1:35 – 1:50 | Joel Rozowsky | Yale University | exceRpt: the extracellular RNA processing toolkit |
Session 3) Data Visualization | |||
2:00 – 2:25 | Justin Chang | Yale University | The exRNA Explorer tool |
2:25 – 2:50 | Discussion of open problems in exRNA data visualization | ||
Session 4) Case Studies in exRNA Data Analysis I | |||
3:00 – 3:20 | Ryan Spengler | University of Wisconsin Madison | Characterization and analysis of cell free mRNA fragments in human circulation |
3:20 – 3:35 | Klaas Max | Rockefeller University | Reference profiles of extracellular RNA in serum and plasma |
3:35 – 3:50 | Karolina Kaczor Urbanowicz | University of California Los Angeles | Bioinformatic analysis of salivary RNA sequencing data for biomarker development |
Session 5) Questions and Answers | |||
4:00 – 4:50 | This session gives the audience a chance to ask questions of the day’s speakers. | ||
Session 6) Deconvolution | |||
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12:00 – 12:15 | Rongshan Yu | Department of Computer Science, Xiamen University and Aginome Scientific | A deep neural network based approach for tumor deconvolution – The Tumor Deconvolution DREAM Challenge winning algorithm |
12:15 – 12:35 | Aleks Milosavljevic | Baylor College of Medicine | exRNA Atlas analysis reveals distinct extracellular RNA cargo types and carriers |
12:35 – 12:50 | Brian White | Jackson Laboratory, Manager of the Tumor Deconvolution DREAM challenge | The CIBERSORTx deconvolution algorithm |
Session 7) exRNA and RNA binding proteins | |||
1:00 – 1:20 | Eric Van Nostrand | Baylor College of Medicine | The ENCODE RNA binding protein project |
1:20 – 1:35 | Bogdan Mateescu | University of Zurich / ETH Zurich | RNA binding proteins and exRNAs |
1:35 – 1:50 | Emily LaPlante | Baylor College of Medicine | A look at the exRNA Atlas from the RBP perspective |
Session 8) Case Studies in exRNA Data Analysis II | |||
2:00 – 2:20 | Elizabeth Hutchins | Translational Genomics Research Institute | Profiling the extracellular long RNA transcriptome in human biofluids |
2:20 – 2:35 | Leonora Balaj | Massachusetts General Hospital and Harvard Medical School | Discovery and validation of novel mRNA signatures in gliomas |
2:35 – 2:50 | Bojan Losic | Icahn School of Medicine at Mount Sinai | Small RNA clusters in circulating extracellular vesicles in liver and prostate cancer |
Session 9) Workshop Round-up: Discussion of Progress on Open Problems in exRNA Data Analysis | |||
3:00 – 3:50 | Open Discussion with Speaker Panel | ||
Session 10) Formulating an exRNA data analysis challenge | |||
4:00 – 4:15 | Gustavo Stolovitsky | Chair, IBM Exploratory Life Sciences Council and | Can we use a crowdsourcing challenge to benchmark exRNA transcriptomics analyses? |
4:15 – 4:25 | Roger Alexander | Extracellular RNA Communication Consortium | Possible exRNA data analysis challenges: Problem definition and datasets |
4:25 – 4:50 | Discussion | ||
The workshop will focus on computational methods to understand and catalog the heterogeneity of exRNA carriers, with a particular emphasis on deconvolution.
Some specific open problems to be discussed at the workshop include the following:
Our goal is for the Spring 2021 workshop to lay the foundation for creating an exRNA-themed DREAM challenge. The DREAM challenge is an ideal framework for presenting problems in exRNA data analysis to the wider scientific community. For more information, watch the February ERCC webinar presented by DREAM founder Gustavo Stolovitsky.