
Ken Lau Lab
@KenLauLab
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Nashville, TN
Joined January 2018
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
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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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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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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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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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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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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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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Better late than ever. Awesome to catch up with colleagues and friends at #AACR25! @DrPipDunne
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Vanderbilt EBC symposium. Get-together with the polyclonal crew w/ Doug Winton and Christina Curtis.
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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
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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The first successful recruit for the newly launched CCSB: Dr. @tae_hwang from Dept of Surgery - https://t.co/QMNhEQ0HOp
#HTAN
news.vumc.org
Vanderbilt is launching a new “Molecular AI” initiative to help personalize the care of surgical patients.
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Excited to be part of this exciting initiative in systems biology, data science, and AI: https://t.co/3Fg1pKoUCT
news.vanderbilt.edu
Vanderbilt University’s new Center for Computational Systems Biology brings computer science, engineering and biomedical researchers together with clinicians at Vanderbilt University Medical Center...
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Happy Holidays from our lab to yours. Here is to a safe and productive 2025! (Courtesy of @w_janney ).
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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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Truly excited to start our new journey in @NCIHTAN phase 2, this time with @SpragginsLab using imaging mass spec in 3D #CRC. https://t.co/yxR6gaKElH
medschool.vanderbilt.edu
Colorectal cancer is the second leading cause of cancer-related deaths in the U.S. Ken Lau and Jeffrey Spraggins are creating the first spatially mapped atlas characterizing the progression traject...
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Very grateful to receive continued support from the Stanley Cohen Innovation Fund. Congratulations to fellow 10th floor EBC colleague @The_Choi_Lab. https://t.co/t6OQStaG4J
medschool.vanderbilt.edu
Eunyoung Choi and Ken Lau receive funding for novel cancer research, which may ultimately result in cancer detection and treatment options for patients. The fund supports early-stage, high-risk...
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Thank you to all collaborators! @SpragginsLab, @Coffey_EGFR, Lauren Ehlrich , @VUBasicSciences, @vandy_biostat
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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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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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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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