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Veyssiere, M.

Publications and source records attributed to Veyssiere, M..

3 recordsLinked to original sources

Spatial transcriptomics unveils immune cellular ecosystems associated with patient survival in diffuse large B-cell lymphoma

Diffuse Large B-cell Lymphoma (DLBCL) is the most prevalent subtype of non-Hodgkins lymphoma for which current therapeutic strategies remain insufficient. The diffuse nature of DLBCL, lacking distinct tissue structures, represents a challenge to elucidate the cellular organization and interactions within the tumor microenvironment (TME). In this study, we applied spatial transcriptomics to identify spatially-resolved gene expression profiles in 10 DLBCL tissue samples, identifying distinct immune cell infiltration and colocalization patterns. These profiles were classified into six cellular ecosystems (Cell-Eco) that differ in cellular composition, functional patterns, and neighborhood characteristics. The spatially-resolved Cell-Eco signatures provided prognostic scores that stratified patients with different overall survival rates. We also found that C1q+ tumor-associated macrophages are the primary cells interacting with malignant B cells and influencing the spatial architecture of the TME. This study provides novel biological insights into the complexity of the TME in DLBCL and highlights the potential prognostic value of its spatial organization. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=163 SRC="FIGDIR/small/613252v1_ufig1.gif" ALT="Figure 1"> View larger version (43K): org.highwire.dtl.DTLVardef@147a46eorg.highwire.dtl.DTLVardef@7c5236org.highwire.dtl.DTLVardef@1f99506org.highwire.dtl.DTLVardef@a6d271_HPS_FORMAT_FIGEXP M_FIG C_FIG Key findingsO_LISpatial transcriptomics classifies DLBCL tissues based on immune cell infiltration and colocalization patterns. C_LIO_LIDLBCL tumor microenvironment consists of cellular ecosystems (Cell-Eco) that differ in cellular composition, transcriptomic profiles and neighborhood characteristics. C_LIO_LISpatially-resolved Cell-Eco signatures stratify patients with different overall survival. C_LIO_LIC1q+ tumor-associated macrophages primarily interact with malignant B cells and contribute to the spatial organization of the tumor microenvironment. C_LI

immunology↗

Genomic adaptation in the CAZyome and specialised metabolism of the plant-associated Streptomyces violaceusniger clade

Streptomycetes are Gram-positive actinobacteria largely represented in the plant root microbiota. The genetic determinants involved in the presence of Streptomyces in the rhizosphere are mostly unknown but can rely on the ability to release phytohormones, degrade plant cell-wall polysaccharides and produce specialised metabolites. Here we sequenced the genome of the rhizospheric and plant defence-stimulating strain Streptomyces sp. AgN23. We found out that it belongs to the soil and plant root dwelling S. violaceusniger clade. The genome annotation of AgN23 revealed the ability of the bacterium to synthesise auxin, a major regulator of plant development, to degrade plant cell wall with a large repertoire of carbohydrate degrading enzymes and to produce antimicrobials (rustmicin, mediomycin, niphimycin, nigericin) and plant bioactive compounds (nigericin, echosides, elaiophylin) through a set of biosynthetic gene clusters. We also found that these genomic features are well-conserved among members of the S. violaceusniger clade. In addition, AgN23 display original events of biosynthetic gene clusters acquisitions and losses which may account for its beneficial effect on plants. Taken together, our work supports the hypothesis that hydrolytic enzymes and specialised metabolites repertoires underpin the interaction of bacteria belonging to the S. violaceusniger clade with plant roots within the rhizosphere. Impact statementStreptomycetes are filamentous Gram-positive bacteria universally found around and within host plant tissues. These actinobacteria have been extensively investigated for their tremendous ability to produce diverse specialised metabolites (e.g., antibiotics). By contrast their impact on host plant physiology is widely neglected. Whether specific lineage of Streptomyces colonise host plant and what are the underlying molecular mechanisms is poorly documented. Here we report a chromosome-scale assembly of AgN23 genome, a Streptomyces sp. strain previously characterised for its ability to activate the plant immune system. This reference sequence enabled us to position AgN23 in the S. violaceusniger clade from which several representatives have been isolated worldwide from the rhizosphere of unrelated plants. Comparative genomic studies suggest that S. violaceusniger spp. produce a prominent CAZyome with expansion of plant cell wall degrading enzymes families and a conserved specialised metabolism acting on host plant physiology and its rhizospheric microbiota. These genomic features may underly S. violaceusniger spp. adaptation to the rhizopsheric niche. Data summaryThe raw reads sequences of AgN23 genome are available at NCBI on the Sequence Read Archive portal for PacBio and MiSeq data (SRR13990229 and SRR14028548 respectively). The Genome assembly is available on the NCBI nucleotide portal under the accession NZ_CP007153.1. This genome sequence was uploaded on the MicroScope platform for genome annotation and analysis (https://mage.genoscope.cns.fr/microscope/home/index.php) [1]. The RNA-seq raw reads are archived in the NCBI Bioproject PRJNA745930. The following eight supplementary tables are included in the online version of this article. Supplementary Information 1: Genomes used in this study. The accession number used from the NCBI portal, name, size, number of contigs as well as the level of completeness of the assembly are indicated. Supplementary Information 2: List of the single copy core genes used by autoMLST to build the phylogenetic tree in Figure 1. O_FIG O_LINKSMALLFIG WIDTH=161 HEIGHT=200 SRC="FIGDIR/small/465742v2_fig1.gif" ALT="Figure 1"> View larger version (38K): org.highwire.dtl.DTLVardef@e15f3org.highwire.dtl.DTLVardef@c34218org.highwire.dtl.DTLVardef@1286956org.highwire.dtl.DTLVardef@1bb5b3_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOFigure 1:C_FLOATNO Multi-locus sequence typing assigned AgN23 to the S. violaceusniger clade. Phylogenetic tree based on the multiple alignment of 85 single-copy homologous genes selected from genomic sequences with AutoMLST. The green node highlights the isolates considered to be from the same species (ANI>95%). The black node highlights the clade formed by isolates with ANI>90% as compared to AgN23. The black squares highlights the eight strains that were used for the BGC conservation study. The green logo indicates plant-isolated strains. Frankia alni ACN14a was used as outgroup, bootstrap=100. C_FIG Supplementary information 3: Annotation of AgN23 full chromosome. For each gene the frame of translation, sequence length and position on the chromosome are indicated. All genes were annotated according to the Microscope platform, see materials and methods. In addition, the expression for each gene is reported in transcripts per million (TPM) based on the the RNA-seq data from three biological replicates. Supplementary Information 4: Genomes having a Mash-based estimated ANI (Average Nucleotide Identity) superior or egal to 80% according to autoMLST. Supplementary Information 5: Prediction of the CAZyme encoding genes using HMMER dbCAN2. The genes are sorted according their CAZy families. For each gene, the begin position on the chromosome, the CAZy category, the annotation, the expression level in transcripts per million (TPM) and the predicted targets of the putative enzymes are described. Supplementary Information 6: Gene identified by antiSMASH in the region containing a biosynthetic gene cluster. Expression levels in transcripts per million (TPM) are indicated for each gene. Annotated central bioynthetic genes are indicated as Y. Those are the ones used for the calculation of mean BGC expression in Table 2. O_TBL View this table: org.highwire.dtl.DTLVardef@1362f24org.highwire.dtl.DTLVardef@50f792org.highwire.dtl.DTLVardef@1ad9681org.highwire.dtl.DTLVardef@1742e96org.highwire.dtl.DTLVardef@9e9b6c_HPS_FORMAT_FIGEXP M_TBL O_FLOATNOTable 2:C_FLOATNO O_TABLECAPTIONantiSMASH annotation of AgN23 chromosomal regions coding for Biosynthetic Gene Clusters. The functional category of each BGCs was determined by antiSMASH. The BGC type, best hit in the MIBiG database as its percentage of similarity to the query are indicated along with the bacterial strain from whom the cluster was described. The expression level of each BGCs was determined by doing the mean of the expression level in Transcripts Per Million (TPM) of the core biosynthetic genes of each BGC from the RNA-seq data (n=3). C_TABLECAPTION C_TBL Supplementary Information 7: Annotation of AgN23 genes putatively involved in biosynthetic pathways for Auxins related phytohomones. Expression levels in transcripts per million (TPM) are indicated for each gene. The genes were detected by blasting reference KEGG sequences for each KEGG ONTOLOGY against AgN23 genes. A cut off of 70% identity and 40% coverage was applied to detect positive hits. These biosynthetic pathways and the KEGG ONTOLOGY are indicated in column F and G. Supplementary Information 8: Inspection of BiG-FAM hits with AgN23 BGCs to identify homologous BGCs found outside the S. violaceusniger clade. BiG-FAM distance higher than 900 were excluded from the analysis. The authors confirm all supporting data, code and protocols have been provided within the article or through supplementary data files.

genomics↗

A novel nonsense variant in SUPT20H gene associated with Rheumatoid Arthritis identified by Whole Exome Sequencing of multiplex families

The triggering and development of Rheumatoid Arthritis (RA) is conditioned by environmental and genetic factors. Despite the identification of more than one hundred genetic variants associated with the disease, not all the cases can be explained. Here, we performed Whole Exome Sequencing in 9 multiplex families (N=30) to identify rare variants susceptible to play a role in the disease pathogenesis. We pre-selected 73 genes which carried rare variants with a complete segregation with RA in the studied families. Follow-up linkage and association analyses with pVAAST highlighted significant RA association of 24 genes (p-value < 0.05 after 106 permutations) and pinpointed their most likely causal variant. We re-sequenced the 10 most significant likely causal variants (p-value [&le;] 0.019 after 106 permutations) in the extended pedigrees and 9 additional multiplex families (N=110). Only one SNV in SUPT20H, c.73T>A (p.Lys25*), presented a complete segregation with RA in an extended pedigree with early-onset cases. In summary, we identified in this study a new variant associated with RA in SUPT20H gene. This gene belongs to several biological pathways like macro-autophagy and monocyte/macrophage differentiation, which contribute to RA pathogenesis. In addition, these results showed that analyzing rare variants using a family-based approach is a strategy that allows to identify RA risk loci, even with a small dataset.\n\nAuthor summaryRheumatoid arthritis (RA) is one of the most frequent auto-immune disease in the world. It causes joint swellings and pains which can lead to mobility impairment. To date, the scientific community has identified a hundred genes carrying variants predisposing to RA, in addition to the major gene HLA-DRB1. However, they do not explain all cases of RA. By examining nine families with multiple RA cases, we identified a new rare nonsense variant in SUPT20H gene, c.73T>A (p.Lys25*). This finding is supported by the literature as the SUPT20H gene regulates several biological functions, such as macro-autophagy or monocyte/macrophage differentiation, that contribute to RA pathogenesis.

genomics↗