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Biology subjects

Valdes, D. S.

Publications and source records attributed to Valdes, D. S..

5 recordsLinked to original sources

Recording proteome dynamics in the late-stage embryo at hour-timescale, spatial, and single-cell resolution with MEMBRYO

Cell fate during development is directed by new gene expression states that replace prior ones. When and where a protein is first translated, and how long it will remain in the cell, dictate the timing and extent of a gene's phenotypic effect. Accessing protein synthesis and turnover information in the rapidly developing embryo remains a major challenge. Here we present MEMBRYO: a method for continuous stable isotope labeling (SILAC) of newly synthesized proteins throughout the live embryo at the hour-timescales of developmental phenotypes. We extend embryo culture into the late stages of organogenesis, thereby accessing the proteome of neurogenesis in the forebrain ex utero. Variations in protein synthesis and turnover activity lead to expression patterns that diverge from the corresponding transcripts, impacting molecular pathways and key milestones of cortical neuron differentiation. The high labeling depth enabled both spatial and single-cell SILAC proteomics analysis of cortical cells, revealing distinct layers of post-transcriptional gene expression regulation in progenitors and neurons. By continuous metabolic labeling in the live embryo, MEMBRYO tracks the past, present, and future of the developmental proteome.

developmental biology↗

OpenDVP: An experimental and computational framework for community-empowered deep visual proteomics

Deep visual proteomics (DVP) is an emerging approach for cell type-specific and spatially resolved proteomics. However, its broad adoption has been constrained by the lack of an open-source end-to-end workflow in a community-driven ecosystem. Here, we introduce openDVP, an experimental and computational framework for simplifying and democratizing DVP. OpenDVP integrates open-source software for image analysis, including MCMICRO, QuPath, and Napari, and uses the scverse data formats AnnData and SpatialData for multi-omics integration. It offers two workflows: a fast-track pipeline requiring no image analysis expertise and an artificial intelligence (AI)-powered pipeline with recent algorithms for image pre-processing, segmentation, and spatial analysis. We demonstrate openDVPs versatility in three archival tissue studies, profiling human placenta, early-stage lung cancer, and locally relapsed breast cancer. In each study, our framework provided insights into health and disease states by integrating spatial single-cell phenotypes with exploratory proteomic data. Finally, we introduce deep proteomic profiling of cellular neighborhoods as a scalable approach to accelerate spatial discovery proteomics across biological systems.

systems biology↗

Maternal smoking in early pregnancy disrupts placental function through syncytiotrophoblast and macrophage dysregulation.

Smoking in pregnancy is the leading avoidable cause of gestational morbidity and mortality, causally linked to fetal growth restriction (FGR). The placenta, functional interface between mother and fetus is essential for healthy fetal development. For the first time, we studied cell type-resolved smoking effects on placental development at high molecular resolution using single-nucleus RNA sequencing and deep visual proteomics of matched tissues. We validated our findings through an independent cohort and in-vitro cigarette smoke exposure to primary human trophoblast cells. Our results show placental macrophages (Hofbauer cells; HBC) and the syncytiotrophoblast (STB) barrier are most affected by smoking, with dysregulation of cell-cell adhesion, extracellular matrix organization, and stress phenotype. STBs show moderate compositional increases in smokers and in-silico trophoblast differentiation modelling indicates a preferential shift towards the STB lineage in this group. The trophoblast displays a large upregulation of pro-angiogenic effectors, increases in xenobiotic detoxification, reduced mitochondrial function, and vastly altered transmembrane transport. These molecular changes affect placental development with important consequences for fetal growth. We provide insight into placental dysfunction contributing to FGR early in pregnancy, before clinical symptoms appear. We anticipate this data to advance diagnostics and therapies to improve FGR outcomes.

systems biology↗

Intestinal interstitial fluid isolation provides novel insight into the human host-microbiome interface

AimsThe gastrointestinal (GI) tract is composed of distinct subregions which exhibit segment-specific differences in microbial colonization and (patho)physiological characteristics. Gut microbes can be collectively considered as an active endocrine organ. Microbes produce metabolites, which can be taken up by the host and can actively communicate with the immune cells in the gut lamina propria with consequences for cardiovascular health. Variation in bacterial load and composition along the GI tract may influence the mucosal microenvironment and thus be reflected its interstitial fluid (IF). Characterization of the segment-specific microenvironment is challenging and largely unexplored because of lack of available tools. Method and ResultsHere, we developed methods, namely tissue centrifugation and elution, to collect IF from the mucosa of different intestinal segments. These methods were first validated in rats and mice, and the tissue elution method was subsequently translated for use in humans. These new methods allowed us to quantify microbiota-derived metabolites, mucosa-derived cytokines, and proteins at their site-of-action. Quantification of short-chain fatty acids showed enrichment in the colonic IF. Metabolite and cytokine analyses revealed differential abundances within segments, often significantly increased compared to plasma, and proteomics revealed that proteins annotated to the extracellular phase were site-specifically identifiable in IF and were differentially expressed when compared to matched serum, all suggesting local synthesis. ConclusionCollection of IF from defined segments and the direct measurement of mediators at the site-of-action in rodents and humans bypasses the limitations of indirect analysis of fecal samples or serum, providing direct insight into this understudied compartment.

microbiology↗

Disturbed trophoblast transition links preeclampsia progression from placenta to the maternal syndrome

Pre-eclampsia (PE) is a syndrome that affects multiple organ systems and is the most severe hypertensive disorder in pregnancy. It frequently leads to preterm delivery, maternal and fetal morbidity and mortality and life-long complications1. We currently lack efficient screening tools2, 3 and early therapies4, 5 to address PE. To investigate the early stages of early onset PE, and identify candidate markers and pathways, we performed spatio-temporal multi-omics profiling of human PE placentae and healthy controls and validated targets in early gestation in a longitudinal clinical cohort. We used a single-nuclei RNA-seq approach combined with spatial proteo- and transcriptomics and mechanistic in vitro signalling analyses to bridge the gap from late pregnancy disease to early pregnancy pathomechanisms. We discovered a key disruption in villous trophoblast differentiation, which is driven by the increase of transcriptional coactivator p300, that ultimately ends with a senescence-associated secretory phenotype (SASP) of trophoblasts. We found a significant increase in the senescence marker activin A in preeclamptic maternal serum in early gestation, before the development of clinical symptoms, indicating a translation of the placental syndrome to the maternal side. Our work describes a new disease progression, starting with a disturbed transition in villous trophoblast differentiation. Our study identifies potential pathophysiology-relevant biomarkers for the early diagnosis of the disease as well as possible targets for interventions, which would be crucial steps toward protecting the mother and child from gestational mortality and morbidity and an increased risk of cardiovascular disease later in life.

systems biology↗