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Tully, D. C.

Publications and source records attributed to Tully, D. C..

3 recordsLinked to original sources

An evolutionary approach to identify mammalian adaptive mutations in the avian influenza polymerase complex

Avian influenza viruses (AIVs) are a global public health risk; human infection is typically associated with high mortality. While the relationship between several mammalian adaptive mutations and host factors have been described, it is unknown whether additional uncharacterised mutations lead to adaptation. Here, we combine phylogenetic analysis and complementary experimental methods to quantify the impact of novel mutations that emerge at the avian-mammal interface. We constructed phylogenetic trees of mammalian and avian influenza sequences for the polymerase (PA, PB1, PB2) and nucleoprotein (NP) segments and identified potential avian to mammal spillover events. We found >6500 mutations across the polymerase and NP, including known signatures of mammalian adaptation such as PB2 E627K and D701N which occurred independently in mammals 143 and 56 times respectively. We selected 95 mutations which were mostly undescribed and emerged independently multiple times in a range of species and subtypes. Using a minigenome assay in an avian H5N1 backbone to measure the effect of these mutations in human cells we identified PA P28S, NP I425V and G485R as novel mutations leading to polymerase adaptation. In addition, to determine the mechanism of adaptive mutations, we measured polymerase activity in cells lacking a key host factor, ANP32, and cells overexpressing host restriction factors MxA and BTN3A3. Our combined approach revealed novel mammalian adaptive mutations and demonstrated the benefit of combining phylogenetic and molecular approaches in validating novel adaptive mutations.

microbiology↗

Differentiation of exhausted CD8 T cells after termination of chronic antigen stimulation stops short of achieving functional T cell memory

T cell exhaustion is associated with failure to clear chronic infections and malignant cells. Defining the molecular mechanisms of T cell exhaustion and reinvigoration is essential to improving immunotherapeutic modalities. Analysis of antigen-specific CD8+ T cells before and after antigen removal in human hepatitis C virus (HCV) infection confirmed pervasive phenotypic, functional, and transcriptional differences between exhausted and memory CD8+ T cells. After viral cure, we observed broad phenotypic and transcriptional changes in clonally stable exhausted T-cell populations suggesting differentiation towards a memory-like profile. However, functionally, the cells showed little improvement and critical transcriptional regulators remained in the exhaustion state. Notably, T cells from chronic HCV infection that were exposed to antigen for shorter periods of time because of viral escape mutations were functionally and transcriptionally more similar to memory T cells from spontaneously resolved acute HCV infection. Thus, duration of T cell stimulation impacts the ability to recover from exhaustion, as antigen removal after long-term T cell exhaustion is insufficient for the development of key T cell memory characteristics.

immunology↗

Capturing diverse microbial sequence with comprehensive and scalable probe design

Metagenomic sequencing has the potential to transform microbial detection and characteri zation, but new tools are needed to improve its sensitivity. We developed CATCH (Compact Aggregation of Targets for Comprehensive Hybridization), a computational method to enhance nucleic acid capture for enrichment of diverse microbial taxa. CATCH designs compact probe sets that achieve full coverage of known sequence diversity and that scale well with this diversity. To illustrate applications of CATCH, we focused on capturing viral genomes. We designed, synthesized, and validated multiple probe sets, including one that targets whole genomes of the 356 viral species known to infect humans. Capture with these probe sets enriched unique viral content on average 18x and allowed us to assemble genomes that we could not otherwise recover, while accurately preserving within-sample diversity. We used this approach to recover genomes from the 2018 Lassa fever outbreak in Nigeria and to improve detection of viral infections in samples with unknown content. Together, this work demonstrates a path toward more sensitive, cost-effective metagenomic sequencing.

genomics↗