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Tim Yu

@timyu.bsky.social
128 followers 108 following 23 posts

Postdoc at MIT in the Lieberman lab (@contaminatedsci.bsky.social) thinking about microbial evolution. Previous: PhD with @jbloomlab.bsky.social.

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Reposted by Tim Yu
Bloom lab @jbloomlab.bsky.social · 17/09/2026
We have measured 47,851 neutralization titers of current human sera vs current influenza strains to inform vaccine update & analyses of viral evolution. New H1N1 strains (eg, D.3.1.1 + G155E) have reduced neutralization, as do some H3N2 subclade K descendants. www.biorxiv.org/content/10.6...
biorxiv.org
Near real-time data on the human neutralizing antibody landscape to influenza virus in summer of 2026 shows antigenic advance of H3N2 subclade K region D mutants and H1N1 D.3.1.1 Sa mutants
Human seasonal influenza evolves rapidly, necessitating twice yearly decisions about whether to update the strains in the vaccine. To help inform this decision, we have been using high-throughput sequ...
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Reposted by Tim Yu
Tami Lieberman @contaminatedsci.bsky.social · 08/09/2026
Two announcements regarding AccuSNV, which calls high precision SNVs across microbial genomes: Version 1.1 is now incredibly easy to install, run, and perform downstream analyses with (see image of typical output!). The manuscript was also published this summer in Genome Research! Links next...
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Reposted by Tim Yu
Guillaume Urtecho @gogurtecho.bsky.social · 02/09/2026
Excited to share the first paper from the Urtecho Lab! We built a framework to move fecal microbiota transplantation (FMT) from a black-box therapy to precision medicine for gut disorders 🧵 doi.org/10.1080/19490976.2026.2725403 #Microbiome. #OpenAccess
doi.org
Metagenome-scale modeling to assess microbiome metabolic complementarity for precision microbiota transplantation therapies
Fecal microbiota transplantation (FMT) holds therapeutic promise beyond recurrent Clostridioides difficile infection, but clinical outcomes remain unpredictable and donor-selection strategies remai...
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Reposted by Tim Yu
Tami Lieberman @contaminatedsci.bsky.social · 31/07/2026
The manuscript describing SimPhyNI is now published! www.microbiologyresearch.org/content/jour... A few updates since last post, including some method tweaks that improve performance and speed. Also even easier to run. Try it for your microbial GWAS or epistasis needs!
microbiologyresearch.org
High-precision binary trait association on phylogenetic trees
Traditional methods for identifying associations between genomic features and traits, or between pairs of genomic traits, struggle when applied to bacterial genomes. While several microbial genome-wid...
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Reposted by Tim Yu
Bloom lab @jbloomlab.bsky.social · 23/07/2026
In new study led by @bdadonaite.bsky.social, we show many influenza HAs (H5, H7, H9, H1, H2, H3) can use avian or human MHC-II to enter cells. We then use novel combo of deep mutational scanning & cryoEM to define how H5 HA binds to avian MHC-II. Preprint: doi.org/10.64898/202...
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Reposted by Tim Yu
William DeWitt @wsdewitt.github.io · 05/06/2026
This started in 2019 as daydreamy PhD student musings with Tatsuya Araki. We're as excited as ever about germinal centers as a platform for experimental evolution. Many thanks to PIs @victora.bsky.social @matsen.bsky.social, co-1st authors Ashni Vora and Tatsuya, and many other key collaborators!
cell.com
Replaying germinal center evolution on a quantified affinity landscape
Antibody affinity maturation results from a somatic evolutionary process that takes place in the germinal center. A “parallel replay” experiment on germinal center B cells reveals the evolutionary for...
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Reposted by Tim Yu
Bloom lab @jbloomlab.bsky.social · 20/02/2026
We have posted data providing real-time measurement of human neutralizing antibody landscape to seasonal influenza. Data explain spread of subclades K (H3N2) & D.3.1.1 (H1N1), identify subclade K subvariants w reduced neutralization, & can inform choice of strains for next vaccine.
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Tim Yu @timyu.bsky.social · 21/01/2026
In new work by @jahn0.bsky.social and I in @jbloomlab.bsky.social, we investigate how sequence constraints differ across influenza HA subtypes. We find ~50% of sites in HA display substantially different amino-acid preferences across H3, H5, and H7. doi.org/10.64898/202...
doi.org
Influenza hemagglutinin subtypes have different sequence constraints despite sharing extremely similar structures
Hemagglutinins (HA) from different influenza A virus subtypes share as little as ∼40% amino acid identity, yet their protein structure and cell entry function are highly conserved. Here we examine the extent that sequence constraints on HA differ across three subtypes. To do this, we first use pseudovirus deep mutational scanning to measure how all amino-acid mutations to an H7 HA affect its cell entry function. We then compare these new measurements to previously described measurements of how all mutations to H3 and H5 HAs affect cell entry function. We find that ∼50% of HA sites display substantially diverged preferences for different amino acids across the HA subtypes. The sites with the most divergent amino-acid preferences tend to be buried and have biochemically distinct wildtype amino acids in the different HA subtypes. We provide an example of how rewiring the interactions among contacting residues has dramatically shifted which amino acids are tolerated at specific sites. Overall, our results show how proteins with the same structure and function can become subject to very different site-specific evolutionary constraints as their sequences diverge. ### Competing Interest Statement JDB consults for Apriori Bio, Invivyd, Pfizer, GSK, and the Vaccine Company. JDB and BD are inventors on Fred Hutch licensed patents related to the deep mutational scanning of viral proteins. National Institute of Allergy and Infectious Diseases, R01AI165821, 75N93021C00015 U.S. National Science Foundation, DGE-2140004 Howard Hughes Medical Institute, https://ror.org/006w34k90
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Reposted by Tim Yu
Bloom lab @jbloomlab.bsky.social · 27/05/2025
In new study led by @timyu.bsky.social, we measure how mutations to H3 flu HA affect cell entry, stability & antibody escape We find pleiotropic effects of mutations on these phenotypes shape evolution: epistasis alleviates cell-entry but not stability constraints www.biorxiv.org/content/10.1...
biorxiv.org
Pleiotropic mutational effects on function and stability constrain the antigenic evolution of influenza hemagglutinin
The evolution of human influenza virus hemagglutinin (HA) involves simultaneous selection to acquire antigenic mutations that escape population immunity while preserving protein function and stability...
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Reposted by Tim Yu
Bloom lab @jbloomlab.bsky.social · 12/03/2025
In study led by @ckikawa.bsky.social & Andrea Loes, we use new assay to measure ~10,000 neutralization titers to recent influenza strains & show titers correlate w evolutionary success of viral strains Similar data could help forecast evolution for vaccine selection www.biorxiv.org/content/10.1...
biorxiv.org
High-throughput neutralization measurements correlate strongly with evolutionary success of human influenza strains
Human influenza viruses rapidly acquire mutations in their hemagglutinin (HA) protein that erode neutralization by antibodies from prior exposures. Here, we use a sequencing-based assay to measure neu...
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