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| {{attachment:Members/binnes.jpg}} == Brendan Innes == Email: <<MailTo(brendan DOT innes AT mail DOT utoronto DOT ca)>> |
= Brendan Innes = Email: <<MailTo(brendan DOT innes AT mail DOT utoronto DOT ca)>><<BR>> Twitter: [[https://twitter.com/InnesBrendanT|@InnesBrendanT]]<<BR>> ORCID: [[https://orcid.org/0000-0003-2496-3154|0000-0003-2496-3154]]<<BR>> Looking for a place to discuss all things single-cell?<<BR>> [[https://bit.ly/TOscRNAseq|Join the Toronto scAnalysis Working Group Slack!]] ---- |
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| === High-thoughput single-cell RNAseq analysis pipeline === I've built a simple pipeline and visualization tool to help collaborators go from raw gene expression counts per cell to exploring annotated cell-type specific gene expression data in a quick and reproducible way. Below is a quick video of an old prototype of the visualization tool in action, showing the sort of data one can get from this pipeline. [[https://baderlab.github.io/scClustViz|See the newest version here!]] |
== Projects == |
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| {{attachment:scRNAseqViz.mp4||height=543, width=800}} | === CCInx - Cell-cell interaction prediction === As part of our ongoing work developing tools to predict cell-cell interaction networks from -omics data, Ruth Isserlin has put together a [[CellCellInteractions|handy database of ligand-receptor pairs]]. This database has powered analyses such as [[https://doi.org/10.1016/j.neuron.2016.07.037|this one from the Miller/Kaplan lab]], which identified extrinsic regulators of neurogenesis. I'm currently working on CCInx, an R package to generate and visualize bipartite graphs of cell-cell interactions from single-cell RNAseq data. A working development version is [[https://baderlab.github.io/CCInx|available here]]. |
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| === Education === | '''Aging Mouse Brain'''<<BR>> [[https://hscrb.harvard.edu/people/methodios-ximerakis|Methodios Ximerakis]] and [[https://dbmi.hms.harvard.edu/people/scott-logan-lipnick|Scott Lipnick]] of [[https://hscrb.harvard.edu/lab/rubin-lab?|Lee Rubin's group]] are studying the effects of aging on the mammalian brain. We are collaborating with them to understand the changes in cell-cell signalling, predicted using CCInx. The results are available [[http://shiny.baderlab.org/AgingMouseBrain|online]] or as an [[https://baderlab.github.io/AgingMouseBrainCCInx/|R package]]. === scClustViz - scRNAseq cluster assessment and visualization === I've built an interactive reporting tool for single-cell RNAseq results called [[https://baderlab.github.io/scClustViz|scClustViz (or sCV for short)]]. Hopefully it will both help biologists and bioinformaticians better collaborate while working with this data, and improve open science by making it easier to publish data in an accessible manner. '''Human Liver Atlas'''<<BR>> [[https://www.uhnresearch.ca/researcher/sonya-macparland|Sonya MacParland]] and [[https://www.uhnresearch.ca/researcher/ian-mcgilvray|Ian McGilvray]] led the creation of the first single-cell atlas of a human organ, the liver. Jeff Liu and I were honoured to perform the analysis for this project, the results of which can be viewed in scClustViz [[http://shiny.baderlab.org/#human-liver-atlas|online]] or as an [[https://baderlab.github.io/scClustViz/#human-liver-atlas|R package]]. '''Embryonic Mouse Cerebral Cortex'''<<BR>> I worked with [[http://www.lmp.utoronto.ca/research/faculty-research-database/yuzwa-scott|Scott Yuzwa]] and [[https://lab.research.sickkids.ca/miller-kaplan/current-members/|Michael Borrett]] of Freda Miller's group to understand the precursor population responsible for building the mammalian cerebral cortex, and its relationship with adult neural stem cells. The single-cell transcriptomes from timepoints throughout cortical neurogenesis in the mouse brain can be viewed in scClustViz [[http://shiny.baderlab.org/#mouse-cerebral-cortex|online]] or as an [[https://baderlab.github.io/scClustViz/#embryonic-mouse-cerebral-cortex|R package]]. == Education == |
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| === Teaching Experience === TA for MBP1010H - Quantitative Biology and Statistical Methods |
== Teaching Experience == TA for MBP1010H - Quantitative Biology and Statistical Methods (2015 - 2017) |
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| === Publications === Yuzwa SA, Borrett MJ, '''Innes BT''', Voronova A, Ketela T, Kaplan DR, Bader GD, Miller FD. Developmental Emergence of Adult Neural Stem Cells as Revealed by Single-Cell Transcriptional Profiling. Cell Rep. 21(13):3970-86, 2017. [[http://www.sciencedirect.com/science/article/pii/S2211124717318132]] |
TA for MMG1001H - Foundational Genetic Approaches I: Genomics (2019) |
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| '''Innes BT''', Sowole MA, Gyenis L, Dubinsky M, Konermann L, Brandl CJ, Litchfield DW, Shilton BH. Peroxide-Mediated Oxidation and Inhibition of the Peptidyl-Prolyl Isomerase Pin1. Biochim Biophys Acta. 1852(5):905-12, 2015. [[http://www.sciencedirect.com/science/article/pii/S0925443915000149|doi:10.1016/jbbadis.2014.12.025]] | == Publications == Ximerakis M, Lipnick SL, '''Innes BT''', Simmons SK, Adiconis X, Dionne D, Nguyen L, Mayweather BA, Ozek C, Niziolek Z, Butty VL, Isserlin R, Buchanan SM, Levine SR, Regev A, Bader GD, Levin JZ, Rubin LL. '''Single-cell transcriptomic profiling of the aging mouse brain'''. ''Nature Neuroscience'' 2019. https://doi.org/10.1038/s41593-019-0491-3 |
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| Sowole MA, '''Innes BT''', Amunugama M, Brandl CJ, Shilton BH, Litchfield DW, Konermann L. Noncovalent binding of a cyclic peptide inhibitor to the peptidyl-prolyl isomerase Pin1 explored by hydrogen exchange mass spectrometry. Can J Chem. July 2014. [[http://www.nrcresearchpress.com/doi/abs/10.1139/cjc-2014-0230|doi:10.1139/cjc-2014-0230]] | '''Innes BT''' & Bader GD. '''scClustViz – Single-cell RNAseq cluster assessment and visualization''' [version 2; peer review: 2 approved]. ''!F1000Research'' 2019. http://doi.org/10.12688/f1000research.16198.2 |
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| '''Innes BT''', Bailey ML, Brandl CJ, Shilton BH, Litchfield DW. Non-catalytic participation of the Pin1 peptidyl-prolyl isomerase domain in target binding. Front. Physiol. 4:18, 2013. [[http://journal.frontiersin.org/article/10.3389/fphys.2013.00018/full|doi:10.3389/fphys.2013.00018]] | !MacParland SA, Liu JC, Ma XZ, '''Innes BT''', Bartczak AM, Gage BK, Manuel J, Khuu N, Echeverri J, Linares I, Gupta R, Cheng ML, Liu LY, Camat D, Chung SW, Seliga RK, Shao Z, Lee E, Ogawa S, Ogawa M, Wilson MD, Fish JE, Selzner M, Ghanekar A, Grant D, Greig P, Sapisochin G, Selzner N, Winegarden N, Adeyi O, Keller G, Bader GD, !McGilvray ID. '''Single cell RNA sequencing of human liver reveals distinct intrahepatic macrophage populations'''. ''Nature Communications'' 2018. https://doi.org/10.1038/s41467-018-06318-7 Yuzwa SA, Borrett MJ, '''Innes BT''', Voronova A, Ketela T, Kaplan DR, Bader GD, Miller FD. '''Developmental Emergence of Adult Neural Stem Cells as Revealed by Single-Cell Transcriptional Profiling'''. ''Cell Reports'' 2017. https://doi.org/10.1016/j.celrep.2017.12.017 '''Innes BT''', Sowole MA, Gyenis L, Dubinsky M, Konermann L, Brandl CJ, Litchfield DW, Shilton BH. '''Peroxide-Mediated Oxidation and Inhibition of the Peptidyl-Prolyl Isomerase Pin1'''. ''Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease'' 2015. https://doi.org/10.1016/j.bbadis.2014.12.025 Sowole MA, '''Innes BT''', Amunugama M, Brandl CJ, Shilton BH, Litchfield DW, Konermann L. '''Noncovalent binding of a cyclic peptide inhibitor to the peptidyl-prolyl isomerase Pin1 explored by hydrogen exchange mass spectrometry'''. ''Canadian Journal of Chemistry'' 2014. https://doi.org/10.1139/cjc-2014-0230 '''Innes BT''', Bailey ML, Brandl CJ, Shilton BH, Litchfield DW. '''Non-catalytic participation of the Pin1 peptidyl-prolyl isomerase domain in target binding'''. ''Frontiers in Physiology'' 2013. https://doi.org/10.3389/fphys.2013.00018 |
Brendan Innes
Email: <brendan DOT innes AT mail DOT utoronto DOT ca>
Twitter: @InnesBrendanT
ORCID: 0000-0003-2496-3154
Looking for a place to discuss all things single-cell?
Join the Toronto scAnalysis Working Group Slack!
I am a PhD candidate in Molecular Genetics who started in the Bader lab in May, 2016. I am very excited about the possibilities offered by high-throughput single-cell RNA-seq, especially to investigate intercellular signalling in complex tissues.
Projects
CCInx - Cell-cell interaction prediction
As part of our ongoing work developing tools to predict cell-cell interaction networks from -omics data, Ruth Isserlin has put together a handy database of ligand-receptor pairs. This database has powered analyses such as this one from the Miller/Kaplan lab, which identified extrinsic regulators of neurogenesis. I'm currently working on CCInx, an R package to generate and visualize bipartite graphs of cell-cell interactions from single-cell RNAseq data. A working development version is available here.
Aging Mouse Brain
Methodios Ximerakis and Scott Lipnick of Lee Rubin's group are studying the effects of aging on the mammalian brain. We are collaborating with them to understand the changes in cell-cell signalling, predicted using CCInx. The results are available online or as an R package.
scClustViz - scRNAseq cluster assessment and visualization
I've built an interactive reporting tool for single-cell RNAseq results called scClustViz (or sCV for short). Hopefully it will both help biologists and bioinformaticians better collaborate while working with this data, and improve open science by making it easier to publish data in an accessible manner.
Human Liver Atlas
Sonya MacParland and Ian McGilvray led the creation of the first single-cell atlas of a human organ, the liver. Jeff Liu and I were honoured to perform the analysis for this project, the results of which can be viewed in scClustViz online or as an R package.
Embryonic Mouse Cerebral Cortex
I worked with Scott Yuzwa and Michael Borrett of Freda Miller's group to understand the precursor population responsible for building the mammalian cerebral cortex, and its relationship with adult neural stem cells. The single-cell transcriptomes from timepoints throughout cortical neurogenesis in the mouse brain can be viewed in scClustViz online or as an R package.
Education
MSc in Biochemistry at the University of Western Ontario, supervised by Dr. David Litchfield
BMSc in Cell Biology and Biochemistry at the University of Western Ontario
Teaching Experience
TA for MBP1010H - Quantitative Biology and Statistical Methods (2015 - 2017)
TA for MMG1001H - Foundational Genetic Approaches I: Genomics (2019)
Publications
Ximerakis M, Lipnick SL, Innes BT, Simmons SK, Adiconis X, Dionne D, Nguyen L, Mayweather BA, Ozek C, Niziolek Z, Butty VL, Isserlin R, Buchanan SM, Levine SR, Regev A, Bader GD, Levin JZ, Rubin LL. Single-cell transcriptomic profiling of the aging mouse brain. Nature Neuroscience 2019. https://doi.org/10.1038/s41593-019-0491-3
Innes BT & Bader GD. scClustViz – Single-cell RNAseq cluster assessment and visualization [version 2; peer review: 2 approved]. F1000Research 2019. http://doi.org/10.12688/f1000research.16198.2
MacParland SA, Liu JC, Ma XZ, Innes BT, Bartczak AM, Gage BK, Manuel J, Khuu N, Echeverri J, Linares I, Gupta R, Cheng ML, Liu LY, Camat D, Chung SW, Seliga RK, Shao Z, Lee E, Ogawa S, Ogawa M, Wilson MD, Fish JE, Selzner M, Ghanekar A, Grant D, Greig P, Sapisochin G, Selzner N, Winegarden N, Adeyi O, Keller G, Bader GD, McGilvray ID. Single cell RNA sequencing of human liver reveals distinct intrahepatic macrophage populations. Nature Communications 2018. https://doi.org/10.1038/s41467-018-06318-7
Yuzwa SA, Borrett MJ, Innes BT, Voronova A, Ketela T, Kaplan DR, Bader GD, Miller FD. Developmental Emergence of Adult Neural Stem Cells as Revealed by Single-Cell Transcriptional Profiling. Cell Reports 2017. https://doi.org/10.1016/j.celrep.2017.12.017
Innes BT, Sowole MA, Gyenis L, Dubinsky M, Konermann L, Brandl CJ, Litchfield DW, Shilton BH. Peroxide-Mediated Oxidation and Inhibition of the Peptidyl-Prolyl Isomerase Pin1. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease 2015. https://doi.org/10.1016/j.bbadis.2014.12.025
Sowole MA, Innes BT, Amunugama M, Brandl CJ, Shilton BH, Litchfield DW, Konermann L. Noncovalent binding of a cyclic peptide inhibitor to the peptidyl-prolyl isomerase Pin1 explored by hydrogen exchange mass spectrometry. Canadian Journal of Chemistry 2014. https://doi.org/10.1139/cjc-2014-0230
Innes BT, Bailey ML, Brandl CJ, Shilton BH, Litchfield DW. Non-catalytic participation of the Pin1 peptidyl-prolyl isomerase domain in target binding. Frontiers in Physiology 2013. https://doi.org/10.3389/fphys.2013.00018