Biology subjects

Haaning, A. M.

Publications and source records attributed to Haaning, A. M..

3 recordsLinked to original sources

bioRxiv2024

Leukemia escapes immunity by imposing a Type-1 regulatory program on neoantigen-specific CD4+ T cells.

The significance of endogenous immune surveillance in acute lymphoblastic leukemia (ALL) remains controversial. Using clinical B-ALL samples and a novel mouse model, we show that neoantigen-specific CD4+ T cells are induced to adopt type-1 regulatory (Tr1) function in the leukemia microenvironment. Tr1s then inhibit cytotoxic CD8+ T cells, preventing effective leukemia clearance. Leukemic cells induce Tr1s by phenocopying hematopoietic stem cells, which normally are subject to effective surveillance by this CD4+ subset. This mechanism effectively redirects Tr1 cells from a role in preventing cancer to maladaptively promoting clinical relapse. In mouse models, inhibition of Tr1 expansion with IL10 receptor (IL10R) blockade is insufficient to improve leukemia control. In contrast, combined therapy with a cytotoxic agent and anti-PDL1 blockade eradicated measurable residual disease. This correlates with polarization of the neoantigen-specific CD4+ T-cell population from Tr1 towards Th1 states. Our findings uncover a mechanism that enables leukemic relapse and resolves existing controversies on the role of immune surveillance towards this cancer type. Therapeutic polarization of neoantigen-specific CD4+ T cells towards Th1 states may improve contemporary immune therapies by reshaping the immune microenvironment towards states permissive for cytotoxic attack of residual leukemia. Key PointsO_LIB-ALL induces neoantigen-specific CD4+ T cells to adopt Type-1 regulatory states, which protect leukemic cells from immune pressure. C_LIO_LIRepolarizing neoantigen-specific CD4+ T-cells towards Th1 states eradicates measurable residual disease. C_LI

cancer biology↗

bioRxiv2023

Genomic resources for a historical collection of cultivated two-row European spring barley genotypes.

Barley genomic resources are increasing rapidly, with the publication of a barley pangenome as one of the latest developments. Two-row spring barley cultivars are intensely studied as they are the source of high-quality grain for malting and distilling. Here we provide data from a European two-row spring barley population containing 209 different genotypes registered for the UK market between 1830 to 2014. The dataset encompasses RNA-sequencing data from six different tissues across a range of barley developmental stages, phenotypic datasets from two consecutive years of field-grown trials in the United Kingdom, Germany and the USA; and whole genome shotgun sequencing from all cultivars, which was used to complement the RNA-sequencing data for variant calling. The outcomes are a filtered SNP marker file, a phenotypic database and a large gene expression dataset providing a comprehensive resource which allows for downstream analyses like genome wide association studies or expression associations.

plant biology↗

bioRxiv2019

Natural genetic variation underlying tiller development in barley (Hordeum vulgare L)

In barley (Hordeum vulgare L.), lateral branches called tillers contribute to grain yield and define shoot architecture, but genetic control of tiller number and developmental rate are not well characterized. The primary objectives of this work were to examine relationships between tiller number and other agronomic and morphological traits and identify natural genetic variation associated with tiller number and rate, and related traits. We grew 768 lines from the USDA National Small Grain Core Collection in the field and collected data over two years for tiller number and rate, and agronomic and morphological traits. Our results confirmed that spike row-type and days to heading are correlated with tiller number, and as much as 28% of tiller number variance is attributed to these traits. In addition, negative correlations between tiller number and leaf width and stem diameter were observed, indicating trade-offs between tiller development and other vegetative growth. Thirty-three quantitative trait loci (QTL) were associated with tiller number or rate. Of these, 40% overlapped QTL associated with days to heading and 22% overlapped QTL associated with spike row-type, further supporting that tiller development is influenced by these traits. Despite this, some QTL associated with tiller number or rate, including the major QTL on chromosome 3H, were not associated with any other traits, suggesting that tiller number can be modified independently of other important agronomic traits. These results enhance our knowledge of the genetic control of tiller development in barley, which is important for optimizing tiller number and rate for yield improvement.

genetics↗