Albert Chen
@atchen_
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PhD student at @BBS_Harvard Past: AAV engineering @DevermanLab @BroadInstitute, Mass spec @slavovLab @NUBioE1
Cambridge, MA
Joined November 2018
We have released a preprint “Targeting AAV vectors to the CNS via de novo engineered capsid-receptor interactions”. We developed gene delivery vectors with known mechanisms of action & predictable tropisms by targeting AAVs to specific proteins. https://t.co/ObDwFiOoCC
biorxiv.org
Viruses have evolved the ability to bind and enter cells through interactions with a wide variety of host cell macromolecules. Here, we screened for AAV capsids that bind two host cell proteins...
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1⃣Developing a method is just the first step. ✔️ 2⃣Helping others adopt it is the second step 👇 Thanks to @aleks_petelski, @edemmott and the entire @slavovLab team for this @NatureProtocols article! https://t.co/5QyqcmgwIS
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And its out! My/@Emmottlab first PI paper “Characterising proteolysis during SARS-CoV-2 identifies viral cleavage sites and cellular targets with therapeutic potential”. https://t.co/98VYfhUuQm This was a huge collaborative effort with 19 authors spanning 4 continents!
nature.com
Nature Communications - During SARS-CoV-2 replication, viral and cellular proteases play crucial roles and have been shown to be promising anti-viral targets. Here, Meyer et al. apply mass...
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My awesome sister just released her book! Uplifted tells the personal stories of how 21 Asian American entrepreneurs built their businesses, overcame their greatest challenges, and drew strength from their identities to uplift others. https://t.co/dFGt4kbLuo
kickstarter.com
A book for thoughtful go-getters carving creative and meaningful paths to success
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We've created an interactive website to visualize >100,000 experimental measurements of how mutations to #SARSCoV2 RBD affect binding by antibodies & sera: https://t.co/uP3IKvnDw0 Explore it to examine a wealth of information about the antigenic effects of viral mutations. (1/n)
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Version 2 of https://t.co/MhFrA3TIoK is up! New data selection interface, now able to handle all 733,480+ SARS2 genomes from GISAID. Please send us your feedback and help us to debug the site!
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We’ve updated our SARS-CoV-2 preprint investigating proteolysis by viral and host enzymes during SARS-CoV-2 infection! Lots of new data, and an author list now covering 4 countries on 3 continents! Read it here:
biorxiv.org
SARS-CoV-2 is the causative agent behind the COVID-19 pandemic, and responsible for over 100 million infections, and over 2 million deaths worldwide. Efforts to test, treat and vaccinate against this...
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Our joint single-cell analysis of proteins & RNAs in differentiating macrophages appeared in @GenomeBiology
https://t.co/8Agmu0HjiO (preprint: https://t.co/bbicPCZIeN) We analyzed ~ 3,000 proteins and RNAs across single monocytes and macrophages, and found ...
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New paper: Single-cell proteomic and transcriptomic analysis of macrophage heterogeneity using SCoPE2. https://t.co/u5zF1B4oGV now published in @GenomeBiology
genomebiology.biomedcentral.com
Background Macrophages are innate immune cells with diverse functional and molecular phenotypes. This diversity is largely unexplored at the level of single-cell proteomes because of the limitations...
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I’m delighted to share the first @emmottlab preprint! In this paper we study protease activity in #SARSCOV2 infected cells. We found multiple unknown cleavage sites in viral proteins, and novel cellular targets of the viral proteases essential for virus replication.
Characterisation of protease activity during SARS-CoV-2 infection identifies novel viral cleavage sites and cellular targets for drug repurposing https://t.co/VH20XuOLB6
#bioRxiv
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Our talk just got bumped earlier to 5 PM CDT / 6 PM EST. The closing talk for the @ASGCTherapy COVID-19 symposium. Grab your happy hour drink of choice and tune in for our 15-min talk! 🍻🍷🧋🍵🍼🧃🥤🍾🍸🥂🍹🧉🥛🧬
Our team is presenting the last talk today 5:15-5:30 PM CDT @ASGCTherapy COVID-19 Symposium. Thank you again for selecting our abstract for a talk - very excited to share our new @CovidCg
https://t.co/R5gGMzvlTk resource!😃
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Heads up on a 2-day all-star @ASGCTherapy COVID-19 symposium starting tomorrow. Dr Fauci is the opening keynote. @atchen_ @DevermanLab @shingheizhan our group is giving the last talk on Wednesday afternoon 5:15PM CDT!
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Really excited to share this tool that we've been working on over the past few months. The code is 100% open source at https://t.co/cBsz5XItVH, if you would like to replicate our analyses, rebuild our app, or suggest any features that would help with your COVID-19 research.
github.com
A COVID-19 CoV Genetics (CG) browser to inform therapeutics development - vector-engineering/covidcg
Hello, twitterverse! This is the twitter account for the new COVID-19 CoV Genetics ( https://t.co/UiL0Q2W7mB) browser created by Ben @DevermanLab Albert Chen @atchen_ Shing Zhan @shingheizhan Alina Chan @ayjchan and Kevin Altschuler.
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Hello, twitterverse! This is the twitter account for the new COVID-19 CoV Genetics ( https://t.co/UiL0Q2W7mB) browser created by Ben @DevermanLab Albert Chen @atchen_ Shing Zhan @shingheizhan Alina Chan @ayjchan and Kevin Altschuler.
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Our paper is out on @biorxivpreprint describing our SARS CoV2-human protein-protein interaction map and drug predictions from the data. It was a honor to work with so many fantastic scientists around the world. -Nevan
biorxiv.org
An outbreak of the novel coronavirus SARS-CoV-2, the causative agent of COVID-19 respiratory disease, has infected over 290,000 people since the end of 2019, killed over 12,000, and caused worldwide...
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The revised version of SCoPE2 https://t.co/x6pfclTtxy has 3 major improvements: 1) SCoPE2 data for >1,000 single cells. No, the reviewers didn’t ask for it, but we thought it's a good way to characterize the reproducibility and throughput, much better than adjectives. 1/4
biorxiv.org
The fate and physiology of individual cells are controlled by protein interactions. Yet, our ability to quantitatively analyze proteins in single cells has remained limited. To overcome this barrier,...
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A dream of single-cell proteomics https://t.co/WXm0QO5Z4a w/ C.Vogel @nyuniversity @slavovLab @Northeastern, R. Aebersold @eth @KharchenkoLab @harvardmed J. Cox @MPI_Biochem @Rune_Linding @Humboldt_Uni
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New research from Chen et al. "DART-ID increases single-cell proteome coverage" https://t.co/rT42rlboQb
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