@locusJ

Cancer Systems Microscopy Lab, @UNSW. Imaging-based single cell systems biology mapping heterogeneity to understand cancer cell biology.

 Randwick, Sydney
cancersystemsmicroscopylab.com/
Joined December 2009
  • Tweets2.5K
  • Following889
  • Followers401
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Our #AI #research @NatureComms will help you use concepts from #multiomics data integration to fuse 4-channel imaging data into unlimitedly multiplexed image datasets to interrogate complex cell biology, like #EMT. rdcu.be/emtBc @UNSW @UNSWMedicine @vafaee_fatemeh
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Check out my latest article: Semantic Multiplexing (SemaPlex) for scalable & accessible multiplexed fluorescence imaging linkedin.com/pulse/semantic-… via @LinkedIn

Semantic Multiplexing (SemaPlex) for scalable & accessible multiplexed fluorescence imaging

One of the key challenges in studying complex cellular processes and their dysregulation in pathologies from cancer to cardiovascular disease, is being able to see large numbers of different molecu...

linkedin.com
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I've always loved the interface of art & science. @GarvanInstitute are doing this so well. It's such a great way to start a conversation & make the complexity of scientific image data appealing & accessible. Maybe @UNSWMedicine @artdesignunsw to up the ante? Science-Art Collab?
Garvan Institute of Medical Research@GarvanInstitute11 Aug 2025
The Art of Discovery exhibition is now open! 11-22 Aug, 2-5pm @GarvanInstitute. Immerse yourself in a free illuminated art exhibition, or explore the gallery online & vote for your favourite. ow.ly/CjTj50WCFIb
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John Lock retweeted
John Lock@locusJ11 Aug 2025
Replying to @felkohdigital
@felkohdigital wrote a beautiful popular science piece about how AI is advancing the inference of molecular function from analysis of cellular form, i.e. image-based phenotyping. If you want to explain your #HCS project to a friend, this might help! @unsw tinyurl.com/4ne8vcaj
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Amazing to join the $25M National Breast Cancer Foundation @NBCF -funded AllClear team, fighting to find & treat dormant cancer cells, the 'seeds of relapse', hiding in bone & causing metastatic relapse in patients. @GarvanInstitute @UNSW @c_chaffer youtu.be/ERRbMx7JxLE?si=oIAZ…
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Have $10M and want to cure some diseases? It costs ~$1B to invent a new medicine…but $10M buys you Project Encore, to see if ANY existing drug might be repurposed for ~100 diseases that have no treatments. Contact me - be a hero for desperate patients! docs.google.com/document/d/1…
Images of cells showing protein mislocalization caused by a Noonan syndrome mutation, with the idea to screen drugs to find any that can reverse the unhealthy mislocalization

ALT Images of cells showing protein mislocalization caused by a Noonan syndrome mutation, with the idea to screen drugs to find any that can reverse the unhealthy mislocalization

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Our #Extensible_Immunofluorescence (ExIF) technique is a bit like #AI doing #origami. From some starting information (raw images = sheets of paper), AI can re-fold many alternatives (virtual images = alternate origami), capturing more #single-cell biology. nature.com/articles/s41467-0…
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Not just noise! Single-cell quantitative imaging reveals that cell state in the epithelial-mesenchymal #EMT spectrum pre-determines different magnitudes, kinetics & localisation of EGF-induced phospho-signalling. @felkohdigital @c_chaffer @vafaee_fatemeh biorxiv.org/content/10.1101/…

Epithelial–mesenchymal cell state heterogeneity predetermines differential phospho-signaling...

Understanding why isogenic cancer cells respond differently to equivalent oncogenic stimuli is vital for optimizing anticancer therapies. Emerging evidence suggests that pre-existing differences in...

biorxiv.org
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New collab with & led by @KrisKilian showing brief capillary constriction drives cancer stem cell traits & tumorgenicity based on PIEZO mechanosensitivity. CTCs get an 'aggressiveness boost' from squeezing through small blood vessels. @UNSW @UNSWMedicine biorxiv.org/content/10.1101/…

Capillary constrictions prime cancer cell tumorigenicity through PIEZO1

Metastasis is a hallmark of cancer and is responsible for the majority of cancer-related deaths. Evidence suggests that even a single cancer cell can spread and seed a secondary tumour. However, not...

biorxiv.org
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John Lock retweeted
John Lock@locusJ18 May 2025
Our #AI #research @NatureComms will help you use concepts from #multiomics data integration to fuse 4-channel imaging data into unlimitedly multiplexed image datasets to interrogate complex cell biology, like #EMT. rdcu.be/emtBc @UNSW @UNSWMedicine @vafaee_fatemeh
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Excited to share Cancer Systems Microscopy lab @UNSWMedicine multiplexed imaging (60+ markers/cell) for #EMT research & #CTC phenotyping from #liquidbiopsy, + extensible immunofluorescence (ExIF) for ♾️ computational multiplexing via routine 4-plex IF. tinyurl.com/36x7eu6w

Seeing more with less: Extensible Immunofluorescence (ExIF) accessibly generates high-plexity...

Standard immunofluorescence imaging captures just ~4 molecular markers (‘4-plex’) per cell, limiting dissection of complex biology. Inspired by multimodal omics-based data integration approaches, we...

researchsquare.com
ニコンソリューションズ/バイオサイエンス
@nikonsolutions8 Oct 2024
10/15(火)14時～開催📣 「Nikon Asia Pacific Life Science Webinar」 【演題】Towards Precision Medicine with Systems Microscopy 【演者】Dr. John Lock @locusJ（ニューサウスウェールズ大学） ※本ウェビナーは英語講演です ▽お申込みはこちら events.zoom.us/ev/AilVvwFmO8… #Nikon #顕微鏡
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In academia you sometimes have to work 7 days a week, but the freedom to choose which 7 days is unparalleled
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Interested in applying Prophet for your own functional assay? Check out the manuscript biorxiv.org/content/10.1101/… or grab the model itself: github.com/theislab/prophet Really excited about this new predictive approach for phenotype & drug discovery, check it out!
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Its flexible encoding allows Prophet to predict genetic perturbations, small molecules & treatment combinations within one model. It scales w data, improving as it learns. Interestingly, learning across phenotypes boosts results, like using IC50 or RNA data to infer morphology.
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By leveraging transfer learning across various phenotypes, Prophet allows in silico prediction of unseen perturbations in unseen biological contexts to predict which experiments are more likely to succeed - reducing the number to perform by up to 60x in the IC_50 example below.
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Thrilled to share our „PRedictor Of PHEnoTypes“ model Prophet! Led by @Alejandro__TL & @_yji_, Prophet is a transformer-based model that predicts outcomes for unseen experiments. It aims to understands biology by learning across assays and phenotypes over 4.7M+ experiments.
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I'm excited to share the next version of patchwork with the world, available on CRAN now. First class support for gt tables and even more freedom with `free()` tidyverse.org/blog/2024/09/p…
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REVIEW @NatImmunol @parkerlabPMCC The complexity of immune evasion mechanisms throughout the metastatic cascade nature.com/articles/s41590-0…
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This important review from the @parkerlabPMCC has been published in @NatRevImmunol highlighting multiple mechanisms cancers use to evade immune detection during metastatic spread & considerations to target aggressive cancers @Nicole160368 @thomasbchadwick go.nature.com/4gq0URQ
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When the @FT puts #OpenAccess in air quotes, we researchers who would prefer to spend public funds on research rather than private publisher's fees should realise that "Open Access" is the wrong solution to the right problem. We can do much better. ft.com/content/e91a9687-8373…

Springer Nature’s IPO shows academic publishing’s resilience

Berlin-based group should be capable of steady, if not spectacular, growth

ft.com
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For those looking to invest in the #SpringerNatureIPO noted by @FT, please note the class action lawsuit filed against them and 5 other large academic journal publishers for contravention of Sherman Act anti-trust laws. lieffcabraser.com/antitrust/…
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