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Sep 21, 2023 18 tweets 6 min read Read on X
Officially out in @CellCellPress: Systematic comparison of SARS-CoV-2 variants of concern (Alpha, Beta, Gamma, Delta, & Omicron) using global proteomic and genomic analyses during infection to understand the molecular responses driving viral evolution 🧵👇 cell.com/cell/fulltext/…
We quantitatively compared the host response to infection in Calu-3 cells using abundance proteomics, phosphoproteomics, APMS, and transcriptomics. We observed equivalent replication kinetics for all VOCs except for Omicron BA.1, showing lower replication. Image
We observed drastic differences in the production of viral structural and accessory RNA and proteins between the VOCs during infection. Alpha and Beta upregulated Orf6 while Omicron BA.1 (somehow) suppressed its translation. Image
Alpha and Delta strongly upregulated Orf9b. Interestingly, although Alpha upregulated Orf9b RNA and protein, Delta only upregulated Orf9b protein. We pinpointed several mutations upstream of Orf9b that control Orf9b RNA and protein production, validated using reverse genetics. Image
Global phosphoproteomics identified stark differences in phosphorylation of N between W1 virus & VOCs (except for Gamma). 12 human kinases identified to phosphorylate these sites are predicted to have greater activity than those previously reported to control N phosphorylation. Image
We used affinity purification mass spectrometry (AP-MS) to quantify changes in virus-host protein-protein interactions between VOC and early-lineage SARS-CoV-2 protein forms. This network comprises 1746 high-confidence interactions of 39 variant forms across 16 viral proteins. Image
16% of interactions were altered. Strikingly, we found N*, a truncated version of N, to specifically bind to the human PAF complex, which was completely absent from binding to full-length N. This may impact variant-specific transcriptional responses to infection. Image
An integrative computational analysis of the host response revealed conserved and divergent pathways regulated during infection across VOCs. Translation and cell cycle regulation were most conserved; innate immune and inflammatory pathways were most divergent. Image
Modulation of the host inflammatory response was most divergent. Alpha and Beta, but not Omicron BA.1, antagonized ISGs, a phenotype that correlated with differing levels of Orf6. Additionally, Delta more strongly upregulated pro-inflammatory genes compared to other VOCs. Image
A comparison of Omicron subvariants (BA.1, BA.2, BA.4, and BA5) revealed BA.5 evolved enhanced innate immune suppression, which also correlated with changes in Orf6 expression, effects dampened in BA.4 due to a mutation that disrupts the Orf6-nuclear pore protein interaction. Image
We propose that having achieved the antigenic shift required to escape widespread adaptive immune responses to Spike (BA.1), Omicron, like previous VOCs, subsequently experienced the next strongest selective pressure, resulting in the enhancement of innate immune evasion (BA.5). Image
Our integrative analyses describe how VOCs have evolved to fine-tune viral protein expression and protein-protein interactions to evade both innate and adaptive immune responses, offering a likely explanation for increased transmission in humans. Image
Read more about the function of Orf6 and its effects in vivo from our accompanying manuscript by @LisaMiorin and Adolfo Garcia-Sastre: Impact of SARS-CoV-2 ORF6 and its variant polymorphisms on host responses and viral pathogenesis. cell.com/cell-host-micr…
Big thanks to the collaborative QCRG network that fueled this work from @QBI_UCSF, @UCLInfectImm, @IcahnMountSinai, @GladstoneInst, @UofGlasgow, @sangerinstitute, @txbiomed, @TelAvivUni, @Synthego, @PhrmMar, @MIT, and @TheCrick.
Thanks to the amazing supervisors: @towerslab, @LorenaZAlvarez, @Jolly_lab, Adolfo Garcia-Sastre, @dlswaney, Kris White, @LisaMiorin, Massimo Palmarini, Arvind Patel, @MartinezSobrido, @doudna_lab, Roded Sharan, @pedrobeltrao, Paula Bofanti, Klim Verba, @ig_ech, & @manoliskellis.
Massive shout out to the first authors who drove this home: @DoctorBou, @akreuschl, @bpolacco, @lucygthorne, and @mrummadi!
For the open access version of our paper: authors.elsevier.com/c/1hoENL7PXmdc5
For the open access version of our Cell Host & Microbe accompanying manuscript: authors.elsevier.com/sd/article/S19…

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More from @KroganLab

Oct 22, 2022
In this new preprint we systematically compared SARS-CoV-2 variants of concern (Alpha, Beta, Gamma, Delta, and Omicron) during infection using global proteomic and genomic analyses to understand the molecular responses driving viral evolution 🧵👇🏾biorxiv.org/content/10.110…
We found increased replication for the Variants of Concern (VOCs) in primary cells and quantitatively compared the host response to infection in Calu-3 cells using transcriptomics, abundance proteomics, and phosphoproteomics analyses. Image
We observed drastic differences in the production of viral structural and accessory RNA and proteins between the VOCs during infection. Alpha and Gamma upregulated Orf6 while Omicron BA.1 (somehow) suppressed its translation. Image
Read 18 tweets
Dec 23, 2021
How do SARS-CoV-2 variants evolve to become more transmissible? One contributor, which we report today in @Nature, is increased innate immune antagonism likely driven by selective upregulation of viral proteins Orf9b, Orf6 and N. nature.com/articles/s4158…
We directly compared the SARS-CoV-2 Alpha variant to early lineage strains VIC and IC19 and found no differences in viral replication in Calu-3 cells but did find differences in interferon production. Image
Global abundance proteomics, phosphoproteomics and RNAseq analysis of infected Calu-3 cells at 10h and 24h post infection revealed antagonism of innate immune pathways by the Alpha variant. Image
Read 11 tweets
Oct 15, 2020
We previously published a virus-human SARS-CoV-2 protein interaction map in @Nature (Gordon et al., 2020a). In our @ScienceMagazine article out today, we compared these interactions to those from other lethal coronaviruses, SARS-CoV-1 and MERS-CoV. More @ kroganlab.ucsf.edu/network-maps ImageImage
We have a library of viral protein plasmids that we are happy to distribute to the research community free of charge until @Addgene takes over. Email Dr. Krogan at UCSF to request these.
We performed hierarchical clustering on virus-human interaction scores, identifying virus-specific interactions as well as those shared between all three viruses (Fig 3). ImageImage
Read 8 tweets
Jun 28, 2020
In this new article, we map global phosphorylation profiles induced by #SARSCoV2 infection to kinase activities, identifying kinase inhibitors with potential to treat #COVID19. See thread for findings
cell.com/cell/fulltext/…
#SARSCoV2 infection activated the p38/MAPK signaling pathway. Abrogation of p38 signaling with drugs/compounds, or knockdown of p38 pathway members, possessed an antiviral effect and reduced cytokine production.
Infection induced the formation of filipodia protrusions, containing activated Casein Kinase 2 (CK2) co-localized with viral N protein. Electron microscopy images capture virus budding from filopodia, presumably to facilitate infection of nearby cells.
Read 8 tweets
Apr 30, 2020
In collaboration with @ZoicLabs, we produced an interactive rendition of our #SARSCoV2 Protein Interaction Map to facilitate the exploration of our dataset. Explore host targets, corresponding drugs/compounds, and other pathogen interactions. Link: ppi.zoiclabs.io/#/
This interactive map corresponds to our paper published today @nature (nature.com/articles/s4158…). The map contains clickable nodes to explore the known functions of #SARSCoV2 viral proteins and host targets, including host protein complexes and biological processes.
DRUGS/COMPOUNDS: Find detailed information about the drugs/compounds we identified to target #SARSCoV2 host factors (orange nodes). Many of these have potential to treat #COVID19 (see publication!)
Read 7 tweets

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