Jamie Chu
@CMJamieChu
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Recently got my PhD!
British Columbia, Canada
Joined May 2019
Excited to share the 3rd first-author paper from my PhD! This was a collaborative effort from @JimJohnsonSci @nictitate @WyWyWa labs. A big thank you to everyone who participate and to CIHR and Breakthrough T1D Centre of Excellence at UBC for funding! https://t.co/70mEdRk3ZE
biorxiv.org
Insulin is produced by pancreatic β cells, whose dysfunction and death are hallmarks of diabetes. Stem cell-derived β-like cells (SCβ cells) are a potential alternative to cadaveric islets for...
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🚨The @SoleimanpourLab is hiring!!! 🚨 If you or someone you know is looking for a post-doctoral position and interested in studying mitochondria and diabetes, please get in touch (or RT)!
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The @Lim_Labo is recruiting PhD students or Postdoctoral Fellows to study the roles of 14-3-3zeta in #adipocytes or pancreatic #betacells. Projects are supported by @CIHR_IRSC , @NSERC_CRSNG, or @DiabetesCanada Please share or RT. Thanks! @CRCHUM @UMontreal @med_umontreal
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Dr. Johnson's (@JimJohnsonSci) lab identified the two Ins2 gene activity states in intact isolated islets and showed that cells in the same state were more likely to be nearer to each other. 🧫 @iScience_CP | https://t.co/jqCE2YpsFv
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New from @JimJohnsonSci & colleagues. Novel insights into the proteomic profiles and regulation of β cell states through analysis of cells varying in Ins gene activity #islets #diabetes @cp-iscience.bsky.social
cell.com
Biological sciences; Cell biology; Specialized functions of cells
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Congrats Jamie and all the collaborators on another fun project. We are learning lots about pancreatic beta cell states that are marked by low vs high insulin production.
Excited to share the 3rd first-author paper from my PhD! This was a collaborative effort from @JimJohnsonSci @nictitate @WyWyWa labs. A big thank you to everyone who participate and to CIHR and Breakthrough T1D Centre of Excellence at UBC for funding! https://t.co/70mEdRk3ZE
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7/ Overall, this study utilizes a novel method for prioritizing screening targets using omics datasets from SC-beta cells and human islets. We reveal new ways to protect SC-beta cells for type 1 diabetes cell therapy.
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6/ We then compared each ligand across multiple doses, and found that the protective effects of FGFs were dose dependent. Of the FGFs, FGF4 the strongest effects across all concentrations tested.
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5/ We found that cytokine induction reduced EGFP fluorescence (INS gene activity), and that this effect was also rescued by the FGFs.
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4/ We found that of ~150 ligands screened, members of the fibroblast growth factor family had strong protective effects against cytokine-induced SC-beta cell death, in particular FGF4, FGF5, FGF8F, FGF19, and FGF21.
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3/ We then screened the ligands in this prioritized list by analyzing cell death using propidium iodide and insulin production using an INS-EGFP reporter that was knocked-in to the stem cells.
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2/ Basically, our selection criteria focused on ligand-receptor pairs with ‘sparse’ ligands but available receptors in SC-beta cells compared to human islets.
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1/ We combined data from multiple bulk RNAseq, scRNAseq, and proteomics datasets from late stage stem cell-derived beta-cells (SC-beta) and human islets, and leverage this to generate a list of prioritized ligands for a medium throughput screen.
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4/ We found that cytokine induction reduced EGFP fluorescence (INS gene activity), and that this effect was also rescued by the FGFs.
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3/ We found that of ~150 ligands screened, members of the fibroblast growth factor family had strong protective effects against cytokine-induced SC-beta cell death, in particular FGF4, FGF5, FGF8F, FGF19, and FGF21.
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3/ We then screened the ligands in this prioritized list by analyzing cell death using propidium iodide and insulin production using an INS-EGFP reporter that was knocked-in to the stem cells.
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/2 Basically, our selection criteria focused on ligand-receptor pairs with ‘sparse’ ligands but available receptors in SC-beta cells compared to human islets.
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/1 We combined data from multiple bulk RNAseq, scRNAseq, and proteomics datasets from late stage stem cell-derived beta-cells (SC-beta) and human islets, and leverage this to generate a list of prioritized ligands for a medium throughput screen.
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We are looking for an imaging master to run a very cool shared microscope that will be unique to Canada - Raman label-free, 2-photon, FLIM, high-res, fast capture, thick live tissue, organoids, high-content screening. We are a dynamic and supportive and fun environment.
📢 We are hiring! The Johnson lab @UBCcps invites applications for a Research Associate. Apply by January 7, 2025 https://t.co/koszekbHFs
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I defended my dissertation today! A big thank you to everyone who attended, and a big thanks to my examiners @guy_rutter @sheilateves @WyWyWa @ Luis lefebvre, and of course a big thank you to my mentor @JimJohnsonSci !
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