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Ken Lau Lab Profile
Ken Lau Lab

@KenLauLab

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Nashville, TN
Joined January 2018
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@KenLauLab
Ken Lau Lab
11 months
Excited to share our latest work published in @Nature, by grad student @mirazul302, currently on the job market. We uncovered clonal dynamics relating normal to tumor cells using natural and synthetic genetic changes. #SingleCell #DevBio #CRISPR #CRC #HTAN
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nature.com
Nature - Using a multipurpose, single-cell CRISPR platform, we demonstrate precise timing of tissue-specific cell expansion during mouse embryonic development, unconventional developmental...
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@KenLauLab
Ken Lau Lab
3 months
So glad to be spending a few days with @SKDevStemCell @SK_GGB @SickKidsNews to share great science and friendship! Beautiful Blue Mountain Venue.
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@CRUK_SI
CRUK Scotland Inst
3 months
Congratulations to @K_Harsim from @KenLauLab for winning the Poster Prize at the Beatson International Cancer Conference 2025! Thanks to @MolOncology for sponsoring this prize #BICC2025
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@KenLauLab
Ken Lau Lab
3 months
Thank you to @CRUK_SI and @DrPipDunne for a wonderful experience in Scotland for #BICC2025. Congratz to @K_Harsim for receiving the outstanding poster award!
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@KenLauLab
Ken Lau Lab
4 months
Congratulations to @skotomorph for winning this year's Mentorship Excellence Award! Honored to have such an inspiring individual in our midst! @VUBasicSciences
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@KenLauLab
Ken Lau Lab
4 months
Proud of @Paige_N_Spencer and @mirazul302 for completing their PhD journeys with me last week. The best is yet to come!
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@KenLauLab
Ken Lau Lab
4 months
Thank you to Vlaams Instituut voor Biotechnologie (VIB) for inviting me to the conference on Immune Niches in Cancer & Inflammation in beautiful Bruges. Feels like walking into a Disney story. Incredible science!@cell #INCI25
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@KenLauLab
Ken Lau Lab
4 months
Thank you Yonsei-Severance for hosting a wonderful conference : YONSEI HTAN SCL G1's Lab K-BioX global summit 6. Have great respect for Korean science and tech. @tae_hwang @IamLinghua @DrMingyaoLi
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@KenLauLab
Ken Lau Lab
4 months
Better late than ever. Awesome to catch up with colleagues and friends at #AACR25! @DrPipDunne
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@KenLauLab
Ken Lau Lab
6 months
Vanderbilt EBC symposium. Get-together with the polyclonal crew w/ Doug Winton and Christina Curtis.
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@KenLauLab
Ken Lau Lab
7 months
What drives region-specific Crohn's disease (CD)? Our preprint uncovers how Chlamydia, a pathobionic microbe, triggers ascending colon inflammation, further promoting investigation of conditionally bad-acting microbes in inflammatory diseases #IBD #chronic https://t.co/W5DRbI8mEn
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biorxiv.org
The structure and function of the mammalian gut vary by region, yet why inflammatory diseases manifest in specific regions and not others remains unclear. We use a TNF-overexpressing Crohn’s disease...
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@KenLauLab
Ken Lau Lab
9 months
Happy Holidays from our lab to yours. Here is to a safe and productive 2025! (Courtesy of @w_janney ).
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@KenLauLab
Ken Lau Lab
9 months
Everyone should have a Paige clone in their lab! Congratulations to Dr.@Paige_N_Vega for successfully completing her PhD. She is off to MIT. She will be sorely missed. I am proud of her and what we accomplished together! @VanderbiltCDB
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@KenLauLab
Ken Lau Lab
11 months
Thank you to all collaborators! @SpragginsLab, @Coffey_EGFR, Lauren Ehlrich , @VUBasicSciences, @vandy_biostat
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@KenLauLab
Ken Lau Lab
11 months
MILWRM also detected consensus tissue domains in ST data from differently oriented sections of mouse brain. It is an easy-to-use python package that can be run on several mIF images and ST samples together.
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@KenLauLab
Ken Lau Lab
11 months
MILWRM can identify consensus tissue domains across multiple samples, which is useful for identifying broad tissue classes when studying diseases like cancer. We show this in colon pre-cancer mIF data where MILWRM identified distinct tissue domain in sessile serrated lesions.
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@KenLauLab
Ken Lau Lab
11 months
By doing so, MILWRM also includes extracellular information missing from cell segmentation analysis. In the paper we demonstrate how MILWRM assisted identification of tissue domains that capture the anatomical features of colon, lymph node and kidney.
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