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Drogaris C, Zhang Y, Zhang E, Nazarova E, Sarrazin-Gendron R, Wilhelm-Landry S, Cyr Y, Majewski J, Blanchette M, Waldispühl J. ARGV: 3D genome structure exploration using augmented reality. BMC Bioinformatics 2024; 25:277. [PMID: 39192184 DOI: 10.1186/s12859-024-05882-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Accepted: 07/25/2024] [Indexed: 08/29/2024] Open
Abstract
Over the past two decades, scientists have increasingly realized the importance of the three-dimensional (3D) genome organization in regulating cellular activity. Hi-C and related experiments yield 2D contact matrices that can be used to infer 3D models of chromosome structure. Visualizing and analyzing genomes in 3D space remains challenging. Here, we present ARGV, an augmented reality 3D Genome Viewer. ARGV contains more than 350 pre-computed and annotated genome structures inferred from Hi-C and imaging data. It offers interactive and collaborative visualization of genomes in 3D space, using standard mobile phones or tablets. A user study comparing ARGV to existing tools demonstrates its benefits.
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Affiliation(s)
| | - Yanlin Zhang
- School of Computer Science, McGill University, Montréal, QC, H3A 0E9, Canada
| | - Eric Zhang
- School of Computer Science, McGill University, Montréal, QC, H3A 0E9, Canada
| | - Elena Nazarova
- School of Computer Science, McGill University, Montréal, QC, H3A 0E9, Canada
| | | | | | - Yan Cyr
- Beam Me Up Inc., 5925 Monkland Ave, Suite, 100, Montréal, H4A 1G7, Canada
| | - Jacek Majewski
- Department of Human Genetics, McGill University, Montréal, QC, H3A 1B1, Canada
| | - Mathieu Blanchette
- School of Computer Science, McGill University, Montréal, QC, H3A 0E9, Canada
| | - Jérôme Waldispühl
- School of Computer Science, McGill University, Montréal, QC, H3A 0E9, Canada.
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Rittenbruch M, Vella K, Brereton M, Hogan JM, Johnson D, Heinrich J, O'Donoghue S. Collaborative Sense-Making in Genomic Research: The Role of Visualisation. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS 2022; 28:4477-4489. [PMID: 34156943 DOI: 10.1109/tvcg.2021.3090746] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Genomic research emerges from collaborative work within and across different scientific disciplines. A diverse range of visualisation techniques has been employed to aid this research, yet relatively little is known as to how these techniques facilitate collaboration. We conducted a case study of collaborative research within a biomedical institute to learn more about the role visualisation plays in genomic mapping. Interviews were conducted with molecular biologists (N = 5) and bioinformaticians (N = 6). We found that genomic research comprises a variety of distinct disciplines engaged in complex analytic tasks that each resist simplification, and their complexity influences how visualisations were used. Visualisation use was impacted by group-specific interactions and temporal work patterns. Visualisations were also crucial to the scientific workflow, used for both question formation and confirmation of hypotheses, and acted as an anchor for the communication of ideas and discussion. In the latter case, two approaches were taken: providing collaborators with either interactive or static imagery representing a viewpoint. The use of generic software for simplified visualisations, and quick production and curation was also noted. We discuss these findings with reference to group-specific interactions and present recommendations for improving collaborative practices through visual analytics.
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Ibragimov AN, Bylino OV, Shidlovskii YV. Molecular Basis of the Function of Transcriptional Enhancers. Cells 2020; 9:E1620. [PMID: 32635644 PMCID: PMC7407508 DOI: 10.3390/cells9071620] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Revised: 07/03/2020] [Accepted: 07/03/2020] [Indexed: 02/06/2023] Open
Abstract
Transcriptional enhancers are major genomic elements that control gene activity in eukaryotes. Recent studies provided deeper insight into the temporal and spatial organization of transcription in the nucleus, the role of non-coding RNAs in the process, and the epigenetic control of gene expression. Thus, multiple molecular details of enhancer functioning were revealed. Here, we describe the recent data and models of molecular organization of enhancer-driven transcription.
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Affiliation(s)
- Airat N. Ibragimov
- Laboratory of Gene Expression Regulation in Development, Institute of Gene Biology, Russian Academy of Sciences, 34/5 Vavilov St., 119334 Moscow, Russia; (A.N.I.); (O.V.B.)
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Institute of Gene Biology, Russian Academy of Sciences, 34/5 Vavilov St., 119334 Moscow, Russia
| | - Oleg V. Bylino
- Laboratory of Gene Expression Regulation in Development, Institute of Gene Biology, Russian Academy of Sciences, 34/5 Vavilov St., 119334 Moscow, Russia; (A.N.I.); (O.V.B.)
| | - Yulii V. Shidlovskii
- Laboratory of Gene Expression Regulation in Development, Institute of Gene Biology, Russian Academy of Sciences, 34/5 Vavilov St., 119334 Moscow, Russia; (A.N.I.); (O.V.B.)
- I.M. Sechenov First Moscow State Medical University, 8, bldg. 2 Trubetskaya St., 119048 Moscow, Russia
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