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Leleu, M.

Publications and source records attributed to Leleu, M..

14 recordsLinked to original sources

Elucidating changes in gene expression driving nuclear dynamics across a foraminiferal life cycle with Pheno2Seq

In many microeukaryotes, conserved morphology masks transitions between haploid and diploid phases of the life cycle, making it difficult to link gene expression to development. Hence, insights on such transitions come largely from model lineages of animals, plants and fungi. To address this gap, we developed a method, Pheno2Seq, that enables visualization of fluorescently-stained individuals followed by identification of candidate genes through single-cell transcriptome analyses. We applied this method in Allogromia laticollaris, a foraminifera with a complex life cycle that alternates between haploid and diploid phases and includes endoreplication to ~11,000N. As this taxon lacks a reference genome, we used a conservative phylogenomic approach to identify gene families present across diverse foraminifera. We identified >800 differentially expressed genes underlying life cycle transitions along with a similar number of constitutively-expressed genes. During Zerfall, a phase of extreme endoreplication, the transcriptome is largely silenced with the exception of gene families involved in genome processes and stability. Intriguingly, these gene families include chromatin modifiers, spliceosomal components and histone paralogs, some of which are known to contribute to cell type differentiation in multicellular eukaryotes. We also find numerous genes involved in DNA repair (e.g. DNA damage response and R-loop regulating genes). We speculate that these genes are part of an ancient eukaryotic toolkit, likely present in the last eukaryotic common ancestor (LECA) and that regulates genomes during life cycle transitions. Our method, Pheno2Seq, can be adapted to diverse lineages to enable the study of life cycle regulation in microeukaryotes that lack morphologically distinguishable life cycle stages.

evolutionary biology↗

Characterization of starch metabolism pathways in dinoflagellates, chromerids and apicomplexans highlights the presence of a starch accumulating symbiont in their common ancestor

Unlike most other heterotrophic protist lineages which synthesize glycogen, alveolates accumulate -glucan storage polysaccharides in the form of starch. Within Alveolata, ciliates do so by using a simple pathway analogous to that used for glycogen metabolism in eukaryotes. However, Myzozoa have evolved five additional enzymatic steps which are common to Dinoflagellata, Chromerids and Apicomplexa. Moreover, dinoflagellates have acquired seven additional enzymes that distinguish them from the Chromerids-Apicompexa lineages, while chromerids possess only a single enzyme not found in dinoflagellates. Such modifications are not found in other eukaryotic lineages save for those resulting directly from primary or secondary plastid endosymbiosis. The many differences affecting the starch pathway of Myzozoa can be explained by a single secondary or tertiary plastid endosymbiosis of a starch-containing alga followed by distinct compartmentalisation outcomes of starch metabolism in Dinoflagellata relative to chromerids and Apicomplexa.

evolutionary biology↗

Drivers of tandem repeats variation within and between stick insect genomes

Tandemly repeated sequences are noncoding, highly variable, yet integral components of eukaryotic genomes. Empirical research has so far largely focused on a few well-characterized, functional tandem repeats (TRs) or documented the broad diversity and rapid evolution of these repeats without explicitly testing the forces driving their evolution. By characterizing TR abundance and TR sequence composition within and between chromosomes and species in the stick insect genus Timema, we uncover that TR loads are enriched in genomic regions of high recombination but tend to be reduced in species with higher effective population sizes. These results suggest that there is a mutational effect of recombination that generates increased TR loads and that the bulk of TRs experience weak selection, leading to their rapid turnover over short evolutionary timescales. Finally, comparisons of centromere and non-centromere TRs reveal that the rapid divergence of centromeres is best explained by the combination of the fast-evolving nature of TRs per se and centromere-specific evolutionary forces. Overall, this study provides the first in-depth investigation of genome-wide TR evolution, while integrating the effects of recombination, genetic drift, and centromeric position along the genome.

evolutionary biology↗

Rapid and efficient generation of human 8-cell-like cells for embryo modelling

8-cell blastomeres of human embryos possess broad lineage potential and undergo major zygotic genome activation (ZGA), yet experimental access to this transient cell state remains limited. Rare 8-cell-like cells (8CLCs) arise spontaneously in naive pluripotent stem cell cultures, but their low abundance has constrained mechanistic and functional studies. Here, we develop a chemically defined strategy for rapid and robust induction of 8CLCs. Through sequential small-molecule screens focused on chromatin regulators, we identify five compounds acting through distinct pathways that generate up to 40% 8CLCs within 48 hours. The resulting cells, which we term rapidly induced 8CLCs (ri8CLCs), recapitulate key molecular features of 8-cell blastomeres, including induction of ZGA-associated genes, cleavage-stage transposable elements, and 8-cell-stage transcriptional signatures in bulk and single-cell transcriptomic analyses. Functionally, ri8CLCs exhibit enhanced developmental competence, acquiring the ability for spontaneous extraembryonic differentiation and assembly into well-cavitated blastoids on an accelerated 72-hour timeline. Notably, ri8CLC induction enables blastoid formation even in the absence of MEK inhibition, TGF-{beta}/Activin/Nodal inhibition and exogenous LIF, revealing a developmental competence consistent with an early embryonic state. Together, these findings establish a rapid, defined, and highly efficient platform for generating human ri8CLCs and provide a tractable model for studying early human embryogenesis.

developmental biology↗

Species-specific oxygen sensing governs the initiation of vertebrate limb regeneration

Why mammals cannot regenerate limbs, unlike amphibians, presents a longstanding puzzle in biology. We show that exposing ex vivo amputated embryonic mouse limbs to subatmospheric oxygen environment, or stabilizing oxygen-sensitive HIF1A enables not only rapid wound healing, but alters cellular mechanics, and reshapes the histone landscape to prime regenerative fates. Conversely, regenerative Xenopus tadpole limbs display low oxygen-sensing capacity, robust wound healing, a regenerative histone landscape, and glycolytic programs even under high oxygen. This reduced oxygen-sensing capacity, in stark contrast to mammals, associates with decreased HIF1A-regulating gene expressions. Our findings thus uncover species-specific oxygen sensing as a unifying mechanism for limb regeneration initiation across vertebrates, reveal how aquatic subatmospheric habitats may enhance regenerative capabilities, and identify targetable barriers to unlock latent limb regenerative programs in adult mammals.

developmental biology↗

Rethinking large scale phylogenomics with PhyloToL 6, a flexible toolkit to enable phylogeny-informed data curation and analysis

Eukaryotic diversity is largely microbial, with macroscopic lineages (plant, animals and fungi) nesting among a plethora of diverse protists. Understanding the evolutionary relationships among eukaryotes is rapidly advancing through omics analyses, but phylogenomics are challenging for microeukaryotes, particularly uncultivable lineages, as single-cell sequencing approaches generate a mixture of sequences from hosts, associated microbiomes, and contaminants. Moreover, many analyses of eukaryotic gene families and phylogenies rely on boutique datasets and methods that are challenging for other research groups to replicate. To address these challenges, we present EukPhylo v1.0, a modular, user-friendly pipeline that enables effective data curation through phylogeny-informed contamination removal, estimation of homologous gene families (GFs), and generation of both multisequence alignments and gene trees. Analyses can use a hook database of [~]15k ancient GFs or users can easily replace this hook with a set of gene families of interest. We demonstrate the power of EukPhylo, including a suite of stand-alone utilities, through analyses of 500 conserved GFs sampled from 1,000 diverse species of eukaryotes, bacteria and archaea. We show improvements in estimates of the eukaryotic tree of life, recovering clades that are well established in the literature, through successive rounds of curation using the EukPhylo contamination loop. The final trees corroborate numerous hypotheses in the literature (e.g. Opisthokonta, Rhizaria, Amoebozoa) while challenging others (e.g. CRuMs, Obazoa, Diaphoretickes). We believe that the flexibility and transparency of EukPhylo sets standards for curation of omics data for future studies. AUTHOR SUMMARYThe majority of eukaryotic lineages are microbial, with plants and animals nesting among diverse amoeba, flagellates, and other predominantly-microbial clades. Yet analyses of the evolution of microbial eukaryotes is hampered by the lack of tools for efficient analysis of genome-scaled data, especially in light of the genome complexity and high levels of contamination associated with these microorganism. Furthermore, many existing analyses rely on boutique datasets and decision making that lacks transparency and are thus difficult for others to repeat. To address these challenges, we present EukPhylo as an easy-to-use toolkit that fills a gap in phylogenomic methods, and we analyze of 500 gene families from 1,000 species to demonstrate the power of this approach in estimating the eukaryotic tree of life. EukPhylo enables exploration of eukaryotic evolution in a manner that is both transparent and easily repeatable, and hence can be used to illuminate the origin and diversification of eukaryotic life on Earth.

evolutionary biology↗

Early mechanisms of whisker development: Prdm1 and its regulation in whisker development and evolutionary loss

Whiskers (vibrissae) are miniaturized organs that are designed for tactile sensing. Extremely conserved among mammals, they underwent a reduction in primates and disappeared in the human lineage. Furthermore, whiskers are highly innervated and their mechanoceptors signal to the primary somatosensory cortex, where a column of neurons called "barrel" represents each of them. This structure, known as barrel cortex, occupies a large portion of the somatosensory cortex of the rodent brain. Strikingly, Prdm1 conditional knockout mice are one of the rare transgenic strains that do not develop whisker hair follicles while still displaying a pelage (Robertson et al. 2007). Here we show that Prdm1 is expressed early on during whisker development, more precisely in clusters of mesenchymal cells before placode formation. Its conditional knockout leads to the loss of expression of Bmp2, Shh, Bmp4, Krt17, Edar, Gli1 though leaving the {beta}-catenin driven first dermal signal intact. Furthermore, we prove that Prdm1 expressing cells not only act as a signaling center but also as a multipotent progenitor population contributing to the formation of the dermal papilla, dermal sheath and pericytes of the vascular sinuses of vibrissae. We confirm by genetic ablation experiments that the absence of motile vibrissae (macro vibrissae) formation reverberates on the organization of nerve wiring in the mystacial pads and organization of the barrel cortex. We prove that Lef1 acts upstream of Prdm1 and identify a potential enhancer (named Leaf) that might be involved in the evolutionary process that led to the progressive reduction of snout size and vibrissae in primates.

developmental biology↗

ToRQuEMaDA: Tool for Retrieving Queried Eubacteria, Metadata and Dereplicating Assemblies

TQMD is a tool which downloads, stores and produces lists of dereplicated prokaryotic genomes. It has been developed to counter the ever-growing number of prokaryotic genomes and their uneven taxonomic distribution. It is based on word-based alignment-free methods (k-mers), an iterative single-linkage approach and a divide-and-conquer strategy to remain both efficient and scalable. We studied the performance of TQMD by verifying the influence of its parameters and heuristics on the clustering outcome. We further compared TQMD to two other dereplication tools (dRep and Assembly-Dereplicator). Our results showed that TQMD is optimized to dereplicate at high taxonomic levels (phylum/class), whereas the other dereplication tools are optimized for lower taxonomic levels (species/strain), making TQMD complementary to the existing dereplicating tools. TQMD is available at .

bioinformatics↗

Integrated Proteogenomic Deep Sequencing and Analytics Accurately Identify Non-Canonical Peptides in Tumor Immunopeptidomes

Efforts to precisely identify tumor human leukocyte antigen (HLA) bound peptides capable of mediating T cell-based tumor rejection still face important challenges. Recent studies suggest that non-canonical tumor-specific HLA peptides that derive from annotated non-coding regions could elicit anti-tumor immune responses. However, sensitive and accurate mass-spectrometry (MS)-based proteogenomics approaches are required to robustly identify these non-canonical peptides. We present an MS-based analytical approach that characterizes the non-canonical tumor HLA peptide repertoire, by incorporating whole exome sequencing, bulk and single cell transcriptomics, ribosome profiling, and a combination of two MS/MS search tools. This approach results in the accurate identification of hundreds of shared and tumor-specific non-canonical HLA peptides and of an immunogenic peptide from a downstream reading frame in the melanoma stem cell marker gene ABCB5. It holds great promise for the discovery of novel cancer antigens for cancer immunotherapy.

cancer biology↗

The process of Lewy body formation, rather than simply alpha-synuclein fibrillization, is the major driver of neurodegeneration in synucleinopathies

Parkinsons disease (PD) is characterized by the accumulation of misfolded alpha-synuclein (-syn) into intraneuronal inclusions named Lewy bodies (LB). Although it is widely believed that -syn plays a central role in the pathogenesis of PD and synucleinopathies, the processes that govern -syn fibrillization and LB formation in the brain remain poorly understood. In this work, we sought to reverse engineer LBs and dissect the spatiotemporal events involved in their biogenesis at the genetic, molecular, biochemical, structural, and cellular levels. Toward this goal, we took advantage of a seeding-based model of -syn fibril formation in primary neurons and further developed this model to generate the first neuronal model that reproduces the key events leading to LB formation; including seeding, fibrillization, and the formation of LB-like inclusions that recapitulate many of the biochemical, structural, and organizational features of LBs found in post-mortem human PD brain tissues. Next, we applied an integrative approach combining confocal and correlative light-electron microscopy (CLEM) imaging methods with biochemical profiling of -syn species and temporal proteomic and transcriptomic analyses to dissect the molecular events associated with LB formation and maturation and to elucidate their contributions to neuronal dysfunctions and neurodegeneration in PD and synucleinopathies. The results from these studies demonstrate that LB formation involves a complex interplay between -syn fibrillization, post-translational modifications, and interactions between -syn aggregates and membranous organelles, including mitochondria and the autophagosome and endolysosome. Furthermore, we demonstrate that the process of LB formation and maturation, rather than simply fibril formation, is the major driver of neurodegeneration through disruption of cellular functions and inducing mitochondria damage and deficits, as well as synaptic dysfunctions. Having a neuronal model that allows for unlinking of the key processes involved in LB formation is crucial for elucidating the molecular and cellular determinants of each process and their contributions to neuronal dysfunction and degeneration in PD and synucleinopathies. Such a model is essential to efforts to identify and investigate the mode of action and toxicity of drug candidates targeting -syn aggregation and LB formation.

neuroscience↗

Three-dimensional chromatin interactions remain stable upon CAG/CTG repeat expansion

Expanded CAG/CTG repeats underlie thirteen neurological disorders, including myotonic dystrophy (DM1) and Huntingtons disease (HD). Upon expansion, CAG/CTG repeat loci acquire heterochromatic characteristics. This observation raises the hypothesis that repeat expansion provokes changes to higher order chromatin folding and thereby affects both gene expression in cis and the genetic instability of the repeat tract. Here we tested this hypothesis directly by performing 4C sequencing at the DMPK and HTT loci from DM1 and HD patient-derived cells. Surprisingly, chromatin contacts remain unchanged upon repeat expansion at both loci. This was true for loci with different DNA methylation levels and CTCF binding. Repeat sizes ranging from 15 to 1,700 displayed strikingly similar chromatin interaction profiles. Our findings argue that extensive changes in heterochromatic properties are not enough to alter chromatin folding at expanded CAG/CTG repeat loci. Moreover, the ectopic insertion of an expanded repeat tract did not change three-dimensional chromatin contacts. We conclude that expanded CAG/CTG repeats have little to no effect on chromatin conformation.

neuroscience↗

Transcriptional logic of cell fate specification and axon guidance in early born retinal neurons revealed by single-cell mRNA profiling

Retinal ganglion cells (RGC), together with cone photoreceptors, horizontal cells (HC) and amacrine cells (AC), are the first classes of neurons produced in the retina. Here we have profiled 5348 single retinal cells and provided a comprehensive transcriptomic atlas showing the broad diversity of the developing retina at the time when the four early-born cells are being produced. Our results show the transcriptional sequences that establish the hierarchical ordering of early cell fate specification in the retina. RGC maturation follows six waves of gene expression, giving new insight into the regulatory logic of RGC differentiation. Early-generated RGCs transcribe an increasing amount of guidance cues for young peripheral RGC axons that express the matching receptors. Finally, spatial signatures in sub-populations of RGCs allowed to define novel molecular markers that are spatially restricted during the development of the retina. Altogether this study is a valuable resource that identifies new players in mouse retinal development, shedding light on transcription factors sequence and guidance cues dynamics in space and time.

developmental biology↗

Single-cell mRNA profiling reveals heterogeneous combinatorial expression of Hoxd genes during limb development

ABSTRACT (177 words)A global analysis of gene expression during development reveals specific transcription patterns associated with the emergence of various cell types, tissues and organs. These heterogeneous patterns are instrumental to ensure the proper formation of the different parts of our body, as shown by the phenotypic effects generated by functional genetic approaches. However, variations at the cellular level can be observed within each structure or organ. In the developing mammalian limbs, expression of Hoxd genes is differentially controlled in space and time in cells that will pattern the digits and the arms. Here we analyze single-cell transcriptomes of limb bud cells and show that Hox genes are expressed in specific combinations that match particular cell types. In the presumptive digits, we find that the expression of Hoxd gene is unbalanced, despite their common genomic proximity to known global enhancers, often expressing only a subset of the five genes transcribed in these cells. We also report that combinatorial expression follows a pseudo-time sequence, suggesting that a progression in combinatorial expression may be associated with cellular diversity in developing digits.\n\nHIGHLIGHTSO_LICollinear expression of Hox genes is only weaved at the tissue scale\nC_LIO_LIEnhancer-sharing to specific target genes is reduced at the single-cell level\nC_LIO_LIHoxd gene combinatorial expression is linked to distinct transcriptional signatures\nC_LIO_LIIn presumptive digits, Hoxd combinations follow a pseudotime trajectory\nC_LI

developmental biology↗

LARGE-SCALE GENOMIC REORGANIZATIONS OF TOPOLOGICAL DOMAINS (TADs) AT THE HoxD LOCUS

BackgroundThe transcriptional activation of Hoxd genes during mammalian limb development involves dynamic interactions with the two Topologically Associating Domains (TADs) flanking the HoxD cluster. In particular, the activation of the most posterior Hoxd genes in developing digits is controlled by regulatory elements located in the centromeric TAD (C-DOM) through long-range contacts. To assess the structure-function relationships underlying such interactions, we measured compaction levels and TAD discreteness using a combination of chromosome conformation capture (4C-seq) and DNA FISH.\n\nResultsWe challenged the robustness of the TAD architecture by using a series of genomic deletions and inversions that impact the integrity of this chromatin domain and that remodel the long-range contacts. We report multi-partite associations between Hoxd genes and up to three enhancers and show that breaking the native chromatin topology leads to the remodelling of TAD structure.\n\nConclusionsOur results reveal that the re-composition of TADs architectures after severe genomic re-arrangements depends on a boundary-selection mechanism that uses CTCF-mediated gating of long-range contacts in combination with genomic distance and, to a certain extent, sequence specificity.

genomics↗