Biology subjects

Laddach, A. C.

Publications and source records attributed to Laddach, A. C..

4 recordsLinked to original sources

bioRxiv2026

Circulating pre-osteoclasts are primed for osteoclast fate and synovial tissue homing in psoriatic arthritis.

Psoriatic arthritis (PsA) is a complex immune-mediated inflammatory disease with heterogenous clinical features. Osteoclasts have a unique ability to destroy bone, playing key roles in both healthy bone turnover and pathological erosions in arthritis. They are believed to arise from monocytic precursors migrating to inflamed synovial tissue, though the identity of this precursor in humans has remained elusive. Here, we sought to determine whether monocytes home to psoriatic joints and their phenotype. We find that monocytes are recruited to inflamed joints in PsA but not uninvolved or healthy joints, and identify a pre-osteoclast (preOC) cell state derived from classical monocytes. PreOC are transcriptionally distinct from classical monocytes, are enriched for NFACT1, the master regulator of osteoclastogenesis, and form multinucleated osteoclasts in vitro without exogenous RANKL. They are expanded in the circulation of donors with active treatment naive PsA, compared to both healthy controls and those with cutaneous psoriasis only. Finally, using a customised spatial transcriptomics workflow, we identified these cells within human synovial tissue, and radiolabelling confirmed their recruitment from the circulation. These findings highlight the role of systemic immune priming in macrophage pathophysiology.

immunology↗

bioRxiv2024

TrajectoryGeometry suggests cell fate decisions involve branches rather than bifurcations

AO_SCPLOWBSTRACTC_SCPLOWDifferentiation of multipotential progenitor cells is a key process in the development of any multi-cellular organism and often continues throughout its life. It is often assumed that a bi-potential progenitor develops along a (relatively) straight trajectory until it reaches a decision point where the trajectory bifurcates. At this point one of two directions is chosen, each direction representing the unfolding of a new transcriptomic programme. However, we have lacked quantitative means for testing this model. Accordingly, we have developed the R package TrajectoryGeometry. Applying this to published data we find several examples where, rather than bifurcate, developmental pathways branch. That is, the bipotential progenitor develops along a relatively straight trajectory leading to one of its potential fates. A second relatively straight trajectory branches off from this towards the other potential fate. In this sense only cells that branch off to follow the second trajectory make a "decision". Our methods give precise descriptions of the genes and cellular pathways involved in these trajectories. We speculate that branching may be the more common behaviour and may have advantages from a control-theoretic viewpoint.

developmental biology↗

bioRxiv2022

A branching model of cell fate decisions in the enteric nervous system

How neurogenesis and gliogenesis are coordinated during development and why mature glial cells often share properties with neuroectodermal progenitors remains unclear. Here, we have used single cell RNA sequencing to map the regulatory landscape of neuronal and glial differentiation in the mammalian enteric nervous system (ENS). Our analysis indicates that neurogenic trajectories branch directly from a linear gliogenic axis defined by autonomic neural crest cells adopting sequential states as they progressively lose their strong neurogenic bias and acquire properties of adult enteric glia. We identify gene modules associated with transcriptional programs driving enteric neurogenesis and cell state transitions along the gliogenic axis. By comparing the chromatin accessibility profile of autonomic neural crest and adult enteric glia we provide evidence that the latter maintain an epigenetic memory of their neurogenic past. Finally, we demonstrate that adult enteric glia maintain neurogenic potential and are capable of generating enteric neurons in certain contexts by activating transcriptional programs employed by early ENS progenitors. Our studies uncover a novel configuration of enteric neurogenesis and gliogenesis that enables the coordinate development of ENS lineages and provides a mechanistic explanation for the ability of enteric glia to be functionally integrated into the adult intestine and simultaneously maintain attributes of early ENS progenitors.

neuroscience↗

bioRxiv2022

Multimodal single cell data integration challenge: results and lessons learned

Biology has become a data-intensive science. Recent technological advances in single-cell genomics have enabled the measurement of multiple facets of cellular state, producing datasets with millions of single-cell observations. While these data hold great promise for understanding molecular mechanisms in health and disease, analysis challenges arising from sparsity, technical and biological variability, and high dimensionality of the data hinder the derivation of such mechanistic insights. To promote the innovation of algorithms for analysis of multimodal single-cell data, we organized a competition at NeurIPS 2021 applying the Common Task Framework to multimodal single-cell data integration. For this competition we generated the first multimodal benchmarking dataset for single-cell biology and defined three tasks in this domain: prediction of missing modalities, aligning modalities, and learning a joint representation across modalities. We further specified evaluation metrics and developed a cloud-based algorithm evaluation pipeline. Using this setup, 280 competitors submitted over 2600 proposed solutions within a 3 month period, showcasing substantial innovation especially in the modality alignment task. Here, we present the results, describe trends of well performing approaches, and discuss challenges associated with running the competition.

bioinformatics↗