Incredibly excited and honoured to train at my dream residency @MGBpathology!
I’m utterly grateful to the many people who made my journey possible, especially my amazing PhD mentor & inspiration @lauradelongwood
We couldn’t be more thrilled to introduce this stellar new class of 19 (yes, 19!) PGY1s joining the Mass General Brigham pathology family! 🥳
Welcome to the team — we can’t wait to have you on board and see you thrive! 🧬🔬💫
Excited for our preprint w/ EJ Huang, Bever Lab, @amyfpeterson untangling the evolutionary history of all 3 tiers of the MAPK cascade! Our trees explain complex overlapping affinities & reveal differential contributions by 2 MAP3K clades in driving coevolutionary expansion.
Reconstructing the deep phylogeny of the MAPK signaling network: functional specialization via multi-tier coevolutionary expansion https://t.co/nyvN09OLYz #biorxiv_evobio
I’m very excited to share this preprint! Using CODA to co-register serial H&E with IHC images, we map CD45+ cells around PanINs to identify striking heterogeneity in 3D and distinct immune hotspots and cold spots
Immensely proud to have led the revisions on this amazing paper on 3D-mapping genetic heterogeneity in pancreatic precancers with CODA, out today @Nature ! Thank you for having me on the team @lauradelongwood@AshleyKiemen@deniswirtz
https://t.co/NulzCMOXo2
I’m beyond excited to share work from my PhD, co-led with Alicia Braxton, out today in Nature! We used CODA to map the anatomic and genomic properties of pancreatic cancer precursors. Led by the amazing @lauradelongwood and @deniswirtz !
https://t.co/9B1thix0Qv
It's out! We report 3D mapping of human pancreatic precancer and associated genetic alterations. With the brilliant @AshleyKiemen and @deniswirtz . Tweetorial to follow soon. https://t.co/fTYX77MM6v
Really nice and inspiring reunion of Hopkins alumni and current fellows at @lauradelongwood's Lab with many great Friends and Scientists. Thank you for having us.
It was a privilege to collaborate with you on this paper! @WHYAYUWHY @valentatormenta@TerenceXin Thank you for the opportunity and many congratulations 🎉 🎉🎉
Nature exhibits unparalleled craftsmanship in designing intricate structures, such as the hair follicle. We are extremely excited to have our beloved work @CellStemCell. (1/n)
So unbelievably grateful to be part of this community! Thank you @lauradelongwood for your supportive mentorship and for being such an inspiring role model - I learn so much from you every day. Congratulations 🎉🎉🎉
Happy 10th Lab-iversary to my research group! Can't believe I started my lab @JHUPath a decade ago. The greatest joy has been playing a part in the growth of the trainees that have worked with us.
Structure = function is one of the first principles I learned in biology. Feels exhilarating to be part of exploring CODA’s potential to unearth new biological insights from 3D tissue structures
CODA can detect new multicellular structures via deep-learning-guided imaging of large volume of tissues at cellular resolution.
For example, we readily detect 3 types of pre-cancer lesions in pancreatic tissues: lobular, tubular, and dilated
More here: https://t.co/OrRXmyc9OM
CODA can image large volumes of tissues/organs in humans, rodents, pre- and post-natal at single-cell resolution.
By large volume, we mean multi cm^3.
By single-cell, we mean type and (x, y, z) coordinates of individual cells in the 3D tissue.
https://t.co/OrRXmxU0AE
CODA is a method for 3D reconstruction of large tissues at subcellular resolution from serially sectioned H&E images, from Pei-Hsun Wu, @deniswirtz and colleagues. @johnshopkins@ashleykiemen
https://t.co/NQNlL1CXwR
😄Super happy to share our paper to the public! Thanks for everyone supporting me and my mice willing to tell me the 'secret' of hair follicle! This work answers the importance of the beautiful niche architecture (See movie) to stem cells and organ function! Welcome feedbacks.