Resident macrophages are abundant in the bladder, playing key roles in immunity to uropathogens. Yet, whether they are heterogeneous, where they come from, and how they respond to infection remain largely unknown. We identified two macrophage subsets in mouse bladders, MacM in muscle and MacL in the lamina propria, each with distinct protein expression and transcriptomes. Using a urinary tract infection model, we validated our transcriptomic analyses, finding that MacM macrophages phagocytosed more bacteria and polarized to an anti-inflammatory profile, whereas MacL macrophages died rapidly during infection. During resolution, monocyte-derived cells contributed to tissue-resident macrophage pools and both subsets acquired transcriptional profiles distinct from naïve macrophages. Macrophage depletion resulted in the induction of a type 1-biased immune response to a second urinary tract infection, improving bacterial clearance. Our study uncovers the biology of resident macrophages and their responses to an exceedingly common infection in a largely overlooked organ, the bladder.

Lamina propria

Monocyte

10.1126/sciadv.abc5739

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Citations (41)

Le séquençage du récepteur de la TSH (TSHR) des singes : un outil pour étudier les relations structures-fonction

Annales d Endocrinologie (2013)

Alexandre Gauthier Rachel Legendre L. Gourdin Frédérique Savagner Marie Chabbert

10.1016/j.ando.2013.07.399

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sgDI-tector: defective interfering viral genome bioinformatics for detection of coronavirus subgenomic RNAs

RNA (2021)

Andrea Di Gioacchino Rachel Legendre Yannis Rahou Valérie Najburg Pierre Charneau

Coronavirus RNA-dependent RNA polymerases produce subgenomic RNAs (sgRNAs) that encode viral structural and accessory proteins. User-friendly bioinformatic tools to detect and quantify sgRNA production are urgently needed to study the growing number of next-generation sequencing (NGS) data of SARS-CoV-2. We introduced sgDI-tector to identify and quantify sgRNA in SARS-CoV-2 NGS data. sgDI-tector allowed detection of sgRNA without initial knowledge of the transcription-regulatory sequences. We produced NGS data and successfully detected the nested set of sgRNAs with the ranking M > ORF3a > N>ORF6 > ORF7a > ORF8 > S > E>ORF7b. We also compared the level of sgRNA production with other types of viral RNA products such as defective interfering viral genomes.

Subgenomic mRNA

Coronavirus

Guide RNA

10.1261/rna.078969.121

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Citations (7)

Evolution of Class A G-Protein-Coupled Receptors: Implications for Molecular Modeling

Current Medicinal Chemistry (2012)

Marie Chabbert Hélène Castel Julien Pelé Julie Devillé Rachel Legendre

Class A or rhodopsin-like G-protein-coupled receptors (GPCRs) constitute the largest transmembrane receptor family of the human genome. Because of their biological and pharmaceutical importance, the evolutionary history of these receptors has been widely studied. Most studies agree on the classification of the 700 members of this family into a dozen of sub-families. However, the relationship between these sub-families remains controversial and the molecular processes that drove the evolution and diversification of such a large family have still to be determined. We review here the evolutionary analyses carried out on class A GPCRs either by phylogenetic methods or by multidimensional scaling (MDS). We detail the key molecular events driving the evolution of this receptor family. We analyze these events in view of the recently resolved crystal structures of GPCRs and we discuss the usefulness of evolutionary information to help molecular modeling.

Molecular evolution

10.2174/092986712799320600

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Experimental evolution links post-transcriptional regulation to Leishmania fitness gain

PLoS Pathogens (2022)

Laura Piel K. Shanmugha Rajan Giovanni Bussotti Hugo Varet Rachel Legendre

The protozoan parasite Leishmania donovani causes fatal human visceral leishmaniasis in absence of treatment. Genome instability has been recognized as a driver in Leishmania fitness gain in response to environmental change or chemotherapy. How genome instability generates beneficial phenotypes despite potential deleterious gene dosage effects is unknown. Here we address this important open question applying experimental evolution and integrative systems approaches on parasites adapting to in vitro culture. Phenotypic analyses of parasites from early and late stages of culture adaptation revealed an important fitness tradeoff, with selection for accelerated growth in promastigote culture (fitness gain) impairing infectivity (fitness costs). Comparative genomics, transcriptomics and proteomics analyses revealed a complex regulatory network associated with parasite fitness gain, with genome instability causing highly reproducible, gene dosage-independent and -dependent changes. Reduction of flagellar transcripts and increase in coding and non-coding RNAs implicated in ribosomal biogenesis and protein translation were not correlated to dosage changes of the corresponding genes, revealing a gene dosage-independent, post-transcriptional mechanism of regulation. In contrast, abundance of gene products implicated in post-transcriptional regulation itself correlated to corresponding gene dosage changes. Thus, RNA abundance during parasite adaptation is controled by direct and indirect gene dosage changes. We correlated differential expression of small nucleolar RNAs (snoRNAs) with changes in rRNA modification, providing first evidence that Leishmania fitness gain in culture may be controlled by post-transcriptional and epitranscriptomic regulation. Our findings propose a novel model for Leishmania fitness gain in culture, where differential regulation of mRNA stability and the generation of modified ribosomes may potentially filter deleterious from beneficial gene dosage effects and provide proteomic robustness to genetically heterogenous, adapting parasite populations. This model challenges the current, genome-centric approach to Leishmania epidemiology and identifies the Leishmania transcriptome and non-coding small RNome as potential novel sources for the discovery of biomarkers that may be associated with parasite phenotypic adaptation in clinical settings.

Gene dosage

ribosome biogenesis

Translational efficiency

Gene regulatory network

10.1371/journal.ppat.1010375

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Citations (19)

Enzymatic synthesis of random sequences of RNA and RNA analogues by DNA polymerase theta mutants for the generation of aptamer libraries

Nucleic Acids Research (2018)

Irina Randrianjatovo-Gbalou Sandrine Rosario Odile Sismeiro Hugo Varet Rachel Legendre

Nucleic acid aptamers, especially RNA, exhibit valuable advantages compared to protein therapeutics in terms of size, affinity and specificity. However, the synthesis of libraries of large random RNAs is still difficult and expensive. The engineering of polymerases able to directly generate these libraries has the potential to replace the chemical synthesis approach. Here, we start with a DNA polymerase that already displays a significant template-free nucleotidyltransferase activity, human DNA polymerase theta, and we mutate it based on the knowledge of its three-dimensional structure as well as previous mutational studies on members of the same polA family. One mutant exhibited a high tolerance towards ribonucleotides (NTPs) and displayed an efficient ribonucleotidyltransferase activity that resulted in the assembly of long RNA polymers. HPLC analysis and RNA sequencing of the products were used to quantify the incorporation of the four NTPs as a function of initial NTP concentrations and established the randomness of each generated nucleic acid sequence. The same mutant revealed a propensity to accept other modified nucleotides and to extend them in long fragments. Hence, this mutant can deliver random natural and modified RNA polymers libraries ready to use for SELEX, with custom lengths and balanced or unbalanced ratios.

T7 RNA polymerase

Aptamer

10.1093/nar/gky413

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Citations (24)

Hyperstructure interactions influence the virulence of the type 3 secretion system in yersiniae and other bacteria

Applied Microbiology and Biotechnology (2012)

Victor Norris Laurence Menu‐Bouaouiche Jean-Michel Bécu Rachel Legendre Romain Norman

10.1007/s00253-012-4325-4

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Citations (6)