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Bloom Lab
3,914 posts
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Bloom Lab
@jbloom_lab
Lab studying evolution of proteins and viruses. Affiliated with @fredhutch @HHMINEWS @uwgenome. Opinions are my own and do not reflect those of my employer.
Seattle, WA
jbloomlab.org
Joined June 2014
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  • user avatar
    Bloom Lab
    @jbloom_lab
    Jun 22, 2021
    In a new study, I identify and recover a deleted set of #SARSCoV2 sequences that provide additional information about viruses from the early Wuhan outbreak: biorxiv.org/content/10.110… (1/n)
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    biorxiv.org
    Recovery of deleted deep sequencing data sheds more light on the early Wuhan SARS-CoV-2 epidemic
    The origin and early spread of SARS-CoV-2 remains shrouded in mystery. Here I identify a data set containing SARS-CoV-2 sequences from early in the Wuhan epidemic that has been deleted from the NIH’s...
  • user avatar
    Bloom Lab
    @jbloom_lab
    Jan 2, 2023
    I wanted to summarize what is known about the new XBB.1.5 variant of SARS-CoV-2, which is starting to generate a lot of interest. (There are no new scientific results in this thread, it simply aggregates previously reported results for those not following topic closely.)
    1.6M
  • user avatar
    Bloom Lab
    @jbloom_lab
    Nov 25, 2021
    Here's how mutations in #SARSCoV2 Nu variant (B.1.1.529) will affect polyclonal and monoclonal antibodies targeting RBD. These assessments based on deep-mutational scanning experiments; underlying data can be explored interactively at jbloomlab.github.io/SARS2_RBD_Ab_e… (1/n)
  • user avatar
    Bloom Lab
    @jbloom_lab
    Jan 5, 2021
    We mapped how all mutations to #SARSCoV2 receptor-binding domain (RBD) affect recognition by convalescent polyclonal human sera (biorxiv.org/content/10.110…). Among implications: E484K (South African lineage) worrying for immune escape; RBD mutations in UK lineage less so (1/n).
  • user avatar
    Bloom Lab
    @jbloom_lab
    Jun 22, 2021
    Replying to @jbloom_lab
    Finally, my analysis is on GitHub at github.com/jbloom/SARS-Co… where you can access all code, data, & paper drafts. All updates are via time-stamped commits. This ensures transparency/reproducibility of this study are not in doubt, regardless of your views on interpretation. (25/n)
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    GitHub - jbloom/SARS-CoV-2_PRJNA612766: Analysis of early Wuhan SARS-CoV-2 sequences from deleted...
    From github.com
  • user avatar
    Bloom Lab
    @jbloom_lab
    Apr 27, 2023
    In new study, I have analyzed correlation between SARS-CoV-2 & animal genetic material in full set of environmental samples from Huanan Seafood Market. biorxiv.org/content/10.110… Analysis clarifies what sequencing these samples can & cannot tell us about early outbreak at market.
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    biorxiv.org
    Association between SARS-CoV-2 and metagenomic content of samples from the Huanan Seafood Market
    The role of the Huanan Seafood Market in the early SARS-CoV-2 outbreak remains unclear. Recently the Chinese CDC released data from deep sequencing of environmental samples collected from the market...
    912K
  • user avatar
    Bloom Lab
    @jbloom_lab
    Jun 22, 2021
    Replying to @jbloom_lab
    There are also broader implications. First, fact this dataset was deleted should make us skeptical that all other relevant early Wuhan sequences have been shared. We already know many labs in China ordered to destroy early samples: scmp.com/news/china/soc… (16/n)
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  • user avatar
    Bloom Lab
    @jbloom_lab
    Dec 18, 2020
    In new work, we show a human coronavirus evolves to escape neutralization by antibody immunity (biorxiv.org/content/10.110…). Specifically, we studied the historical evolution of the common-cold CoV-229E to learn how #SARSCoV2 might evolve & if we might need to update vaccines. (1/n)
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    biorxiv.org
    A human coronavirus evolves antigenically to escape antibody immunity
    There is intense interest in antibody immunity to coronaviruses. However, it is unknown if coronaviruses evolve to escape such immunity, and if so, how rapidly. Here we address this question by...
  • user avatar
    Bloom Lab
    @jbloom_lab
    Sep 10, 2022
    I wanted to summarize current knowledge about origins of the #SARSCoV2 Omicron variant. (This 🧵 doesn’t have anything new for people following topic closely, but I still get many questions about this, so am recapping current knowledge.)
  • user avatar
    Bloom Lab
    @jbloom_lab
    May 13, 2021
    In letter published in @ScienceMagazine today, I join 17 other scientists in calling for further investigation of #SARSCoV2 origins, including objective consideration of both accidental lab leak and natural zoonosis: science.sciencemag.org/lookup/doi/10.… (1/n)
  • user avatar
    Bloom Lab
    @jbloom_lab
    Jan 2, 2023
    Replying to @jbloom_lab
    Reason people are discussing XBB.1.5 is because it’s so transmissible. Below are estimates of current Rt (measure of transmissibility) of different variants in US from @trvrb’s group. XBB.1.5 more transmissible than other variants like BQ.1.1 that until recently dominated in US
    Image
    304K
  • user avatar
    Bloom Lab
    @jbloom_lab
    Jun 22, 2021
    Replying to @jbloom_lab
    We should therefore avoid dogmatic arguments about #SARSCoV2 origins / early spread, and instead focus on following two questions: (1) How can we get more data? (2) How can we better analyze the data we have? (24/n)
  • user avatar
    Bloom Lab
    @jbloom_lab
    Apr 23, 2021
    We've written a perspective on a new study by @MAMdayIndayOut that helps explain why some viruses (measles) don't evolve to escape immunity but others (influenza) do. Provides some clues relevant to future for #SARSCoV2 as well: cell.com/cell-reports-m… Here is a recap: (1/n)
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    Co-dominant neutralizing epitopes make anti-measles immunity resistant to viral evolution
    From cell.com
  • user avatar
    Bloom Lab
    @jbloom_lab
    Jun 22, 2021
    Replying to @jbloom_lab
    Both progenitors suggest #SARSCoV2 was circulating in Wuhan before December outbreak at Huanan Seafood Market, which is corroborated by lots of other evidence, including news articles from China in early 2020 (see intro to my paper linked in first Tweet in this thread). (15/n)

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