Biology subjects

Guichard, A.

Publications and source records attributed to Guichard, A..

3 recordsLinked to original sources

bioRxiv2024

The Immune Landscape of Tumor-Associated Macrophage Reprogramming

Tumor-associated macrophages (TAMs) generally acquire immunosuppressive and tumor-promoting phenotypes, which may contribute to tumor resistance to immunotherapy. We previously showed that suppression of microRNA activity through genetic Dicer1 inactivation rewires TAMs transcriptomes and prompts their immunostimulatory activation. This phenotypic switch enhanced recruitment and activation of CD8+ cytotoxic T cells (CTLs) and improved the efficacy of immunotherapy in mouse cancer models. Here, we performed single-cell RNA sequencing of whole tumors grown in either wild-type mice or mice with macrophage-specific Dicer1 deletion. The analysis of multiple cell populations, including several discrete monocyte and macrophage subsets, indicated broad and convergent immunostimulatory programming of the tumor microenvironment, which was dependent on CTL-derived interferon-gamma (IFN{gamma}), in mice with DICER-deficient macrophages. Intriguingly, dynamic inferences on monocyte/macrophage ontogeny and differentiation by pseudotime analysis revealed trajectories associated with progression into cell cycle, monocyte-to-macrophage differentiation, and transition from an immunostimulatory to an immunosuppressive phenotype in tumors with DICER-proficient macrophages. Dicer1 deficiency interfered with this trajectory and stalled TAMs at an intermediate state between immature monocytes and macrophages with T cell-stimulatory capacity, thereby impeding immunosuppressive TAM development. This translated into enhanced response to antiangiogenic immunotherapy in an immunotherapy-resistant model of non-small cell lung cancer. Cycling/M2-like macrophages were conserved in human melanoma and hepatocellular carcinoma and should represent a more promising therapeutic target than the bulk of TAMs.

cancer biology↗

bioRxiv2022

MTG-Link: leveraging barcode information from linked-reads to assemble specific loci

BackgroundLocal assembly with short and long reads has proven to be very useful in many applications: reconstruction of the sequence of a locus of interest, gap-filling in draft assemblies, as well as alternative allele reconstruction of large insertion variants. Whereas linked-read technologies have a great potential to assemble specific loci as they provide long-range information while maintaining the power and accuracy of short-read sequencing, there is a lack of local assembly tools for linked-read data. ResultsWe present MTG-Link, a novel local assembly tool dedicated to linked-reads. The originality of the method lies in its read subsampling step which takes advantage of the barcode information contained in linked-reads mapped in flanking regions. We validated our approach on several datasets from different linked-read technologies. We show that MTG-Link is able to assemble successfully large sequences, up to dozens of Kb. We also demonstrate that the read subsampling step of MTG-Link considerably improves the local assembly of specific loci compared to other existing short-read local assembly tools. Furthermore, MTG-Link was able to fully characterize large insertion variants in a human genome and improved the contiguity of a 1.3 Mb locus of biological interest in several individual genomes of the mimetic butterfly (Heliconius numata). ConclusionsMTG-Link is an efficient local assembly tool designed for different linked-read sequencing technologies. MTG-Link source code is available at https://github.com/anne-gcd/MTG-Link and as a Bioconda package. Contactanne.guichard@irisa.fr

bioinformatics↗

bioRxiv2020

The de novo genome of the "Spanish" slug Arion vulgaris Moquin-Tandon, 1855 (Gastropoda: Panpulmonata): massive expansion of transposable elements in a major pest species

BackgroundThe "Spanish" slug, Arion vulgaris Moquin-Tandon, 1855, is considered to be among the 100 worst pest species in Europe. It is common and invasive to at least northern and eastern parts of Europe, probably benefitting from climate change and the modern human lifestyle. The origin and expansion of this species, the mechanisms behind its outstanding adaptive success and ability to outcompete other land slugs are worth to be explored on a genomic level. However, a high-quality chromosome-level genome is still lacking. FindingsThe final assembly of A. vulgaris was obtained by combining short reads, linked reads, Nanopore long reads, and Hi-C data. The genome assembly size is 1.54 Gb with a contig N50 length of 8.6 Mb. We found a recent expansion of transposable elements (TEs) which results in repetitive sequences accounting for more than 75% of the A. vulgaris genome, which is the highest among all known gastropod species. We identified 32,518 protein coding genes, and 2,763 species specific genes were functionally enriched in response to stimuli, nervous system and reproduction. With 1,237 single-copy orthologs from A. vulgaris and other related mollusks with whole-genome data available, we reconstructed the phylogenetic relationships of gastropods and estimated the divergence time of stylommatophoran land snails (Achatina) and Arion slugs at around 126 million years ago, and confirmed the whole genome duplication event shared by them. ConclusionsTo our knowledge, the A. vulgaris genome is the first land slug genome assembly published to date. The high-quality genomic data will provide valuable genetic resources for further phylogeographic studies of A. vulgaris origin and expansion, invasiveness, as well as molluscan aquatic-land transition and shell formation.

genomics↗