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Pollock, K.

Publications and source records attributed to Pollock, K..

3 recordsLinked to original sources

Distinct transcriptional states of draining lymph node T cells following influenza vaccination in individuals with underrepresented ancestries

The transcriptional and cell repertoire changes of lymph node (LN) T cells following influenza vaccination have been under-investigated across different ethnicities. Draining (dLN) and non-draining (ndLN) axillary LN cells from 17 participants with genotypically varied African or Asian ancestry (ISRCTN13657999) were collected by fine needle aspiration (FNA) before, 5 days and 42 days after adjuvanted influenza vaccination and analysed by single-cell RNA-sequencing (scRNA-seq). The early dLN transcriptional profile and cellular dynamics were distinct from the ndLN; BACH2 expressing T cells were highly induced, exhibiting stem-like and unique quiescence signatures. Proliferating T follicular helper cells (Tfh) were enriched in dLN and Th1-like Tfh predominated with highly induced transcriptional changes. The BACH2+ T cell state and Th1-like Tfh cells, transcriptionally distinct from germinal centre (GC) T cells, were co-localised with LAMP3+ dendritic cells in the T cell zone of publicly available LN datasets, a region that was also distinct from GC Tfh niches. Together, these findings indicate that the induction of a robust, proliferative, and transcriptionally diverse Tfh response, alongside a discrete subset of BACH2+ T cells, represents a marked feature of the early T cell zone immune response to adjuvanted influenza vaccine in the dLN.

immunology↗

The differential mechanisms of eIF4A1-mediated translational activation instructed by distinct RNA features

All mRNAs require eukaryotic translation initiation factor (eIF) 4A1 for translation through its different functions: loading of the pre-initiation complex onto mRNAs and unwinding of RNA structure. eIF4A1 is the catalytic subunit of the cap- binding eIF4F complex and presumed to select the mRNAs for translation through these activities, instructed by signalling pathways driving cell fate. The mechanisms underlying activation of the distinct eIF4A1 functions and establish translational selectivity are unknown. Here, we have unravelled the complexity of mRNA selection by eIF4A1. We have mechanistically characterised the biological and atomic basis of inhibition by gain- and loss-of-function eIF4A1-inhibitors eFT226 and hippuristanol, and used machine learning to model the mRNA features associated with specific inhibition. This uncovered the eIF4A1 function - mRNA sequence relationship: 5UTRs containing C/CG-rich require efficient mRNA loading by eIF4F which is specifically targeted by hippuristanol, while 5UTRs harbouring alternatives starts sites together with AG-rich motifs utilise eIF4A1 for start site selection, specifically perturbed by eFT226. Our model is validated through a massively parallel reporter assay using 5UTRs from a distinct evolutionary origin. This prompted us to examine the conservation between mRNA sequence and eIF4A1 function, and revealed their co- development. Our findings highlight opportunities for novel therapeutic strategies targeting eIF4A1 and for improved design of mRNA-based therapeutics.

cell biology↗

Fragment-based screening identifies molecules targeting the substrate-binding ankyrin repeat domains of tankyrase

The PARP enzyme and scaffolding protein tankyrase (TNKS, TNKS2) uses its ankyrin repeat clusters (ARCs) to bind a wide range of proteins and thereby controls diverse cellular functions. A number of these are implicated in cancer-relevant processes, including Wnt/{beta}-catenin signaling and telomere maintenance. The ARCs recognise a conserved tankyrase-binding peptide motif (TBM). All currently available tankyrase inhibitors target the catalytic domain and inhibit tankyrases poly(ADP-ribosyl)ation function. However, there is emerging evidence that catalysis-independent \"scaffolding\" mechanisms contribute to tankyrase function. Here we report a fragment-based screening program against tankyrase ARC domains, using a combination of biophysical assays, including differential scanning fluorimetry (DSF) and nuclear magnetic resonance (NMR). We identify fragment molecules that will serve as starting points for the development of tankyrase substrate binding antagonists. Such compounds will enable probing the scaffolding functions of tankyrase, and may, in the future, provide potential alternative therapeutic approaches to inhibiting tankyrase activity in cancer and other conditions.

biophysics↗