Biology subjects

Wittmann, A.

Publications and source records attributed to Wittmann, A..

5 recordsLinked to original sources

bioRxiv2026

A multi-omics atlas of human hindbrain development

The human hindbrain controls essential motor and autonomic functions and is the site of neurodevelopmental diseases. Yet, its cellular diversity, developmental trajectories and underlying regulatory logic remain poorly understood. We present a comprehensive multi-omics atlas of human hindbrain development spanning embryonic to adult stages, encompassing 594,817 transcriptomic and 422,568 chromatin-accessibility single-nucleus profiles. This dataset resolved the cellular architecture of hindbrain cellular lineages, and delineated coordinated gene expression, cis-regulatory programs and regulatory grammar guiding their developmental trajectories. By integrating multi-omics data, we discovered context-specific roles of transcription factors across cell types and deciphered the role of HOX genes in driving divergent cellular identity in related lineages. We further leveraged the atlas to contextualize pediatric gliomas to decode how subtle yet coordinated shifts in gene expression context can define oncogenic transformation. Together, this atlas provides a foundational resource for hindbrain biology and establishes a gene-regulatory framework linking development and disease.

neuroscience↗

bioRxiv2026

Neural Integration of Affective Prosodic and Semantic Cues in Non-literal Forms of Speech Understanding

Emotions in speech are conveyed through both semantics and prosody--voice melody, yet how listeners integrate these cues in the brain remains unclear. We investigated non-literal forms of speech, such as irony and sarcasm, where understanding beyond literal meaning relies on the dynamic interplay between affective prosodic and semantic cues, alongside theory of mind (ToM). We used functional magnetic resonance imaging while participants listened to short dialogues between two characters, which varied in prosody and semantics to convey either literal or non-literal meanings. Behaviorally, semantics and prosody interacted in shaping participants evaluations, although the data suggest a prosody dominance effect. Non-literal speech engaged a distributed network including the bilateral inferior frontal gyrus, temporal speech regions, and ToM areas, with ROI analyses revealing heterogeneous prosody-semantics integration profiles across regions and tasks. Taken together, our data clarify the behavioral and neural underpinnings of the integration of prosody and semantics in non-literal speech and open new venues in this field. Author noteThe authors made the following contributions. Adrien Wittmann: Conceptualization, Methodology, Data curation, Formal analysis, Software, Investigation, Validation, Visualisation, Writing - Original Draft Preparation, Writing - Review & Editing; Leonardo Ceravolo: Methodology, Software, Writing - Review & Editing; Audrey Mayr: Conceptualization, Software, Methodology, Investigation, Validation; Didier Grandjean: Funding acquisition, Supervision, Conceptualization, Writing - Review & Editing.

neuroscience↗

bioRxiv2024

Medulloblastoma oncogene aberrations are not involved in tumor initiation, but essential for disease progression and therapy resistance

Despite recent advances in understanding disease biology, treatment of Group 3/4 medulloblastoma remains a therapeutic challenge in pediatric neuro-oncology. Bulk-omics approaches have identified considerable intertumoral heterogeneity in Group 3/4 medulloblastoma, including the presence of clear single-gene oncogenic drivers in only a subset of cases, whereas in the majority of cases, large-scale copy-number aberrations prevail. However, intratumoral heterogeneity, the role of oncogene aberrations, and broad CNVs in tumor evolution and treatment resistance remain poorly understood. To dissect this interplay, we used single-cell technologies (snRNA-seq, snATAC-seq, spatial transcriptomics) on a cohort of Group 3/4 medulloblastoma with known alterations in the oncogenes MYC, MYCN, and PRDM6. We show that large-scale chromosomal aberrations are early tumor initiating events, while the single-gene oncogenic events arise late and are typically sub-clonal, but MYC can become clonal upon disease progression to drive further tumor development and therapy resistance. We identify that the subclones are mostly interspersed across tumor tissue using spatial transcriptomics, but clear segregation is also present. Using a population genetics model, we estimate medulloblastoma initiation in the cerebellar unipolar brush cell-lineage starting from the first gestational trimester. Our findings demonstrate how single-cell technologies can be applied for early detection and diagnosis of this fatal disease.

cancer biology↗

bioRxiv2024

Gene regulatory network landscape of Group 3/4 medulloblastoma

Cellular heterogeneity in Group 3 and Group 4 medulloblastomas is a major driver of therapeutic intractability. Here, we describe transcription factor-driven mechanisms underlying cellular diversity in these tumors using a comprehensive single-nucleus multi-omics atlas. Our analysis reveals that rather than fixed entities, these tumors exist along a continuum of cell states defined by four molecular identity axes. We show that perturbing transcription factor activity drives cellular plasticity, a key contributor to tumor heterogeneity. Strikingly, modulation of the lineage determinant PAX6 redirects tumor cells along both Group 3- and Group 4-like differentiation trajectories, modeling a bi-lineage medulloblastoma, and reduces aggressiveness of MYC-driven tumor models. Together, our findings reveal how oncogenic signals co-opt cerebellar unipolar brush cell programs to rewire tumor cell states and identify cellular plasticity as a potential targetable vulnerability in medulloblastoma.

cancer biology↗

bioRxiv2020

Establishment of a simplified preparation method for single-nucleus RNA-sequencing and its application to long-term frozen tumor tissues

Recent advances allowing the genomic analysis of individual cells from a bulk population have provided intriguing new insights into areas such as developmental processes and tumor heterogeneity. Most approaches to date, however, rely on the availability of fresh surgical specimens, thereby dramatically reducing the ability to profile particularly rare tissue types. Pediatric central nervous system tumors - the leading cause of childhood cancer deaths - represent one such example, where often only frozen rather than native material is available. Due to an increasing need for advanced techniques to understand the heterogeneity of these tumors, we optimized a method to isolate intact nuclei from long-term frozen pediatric glioma tissues. We performed a technical comparison between different single nucleus RNA-sequencing (snRNA-seq) systems using a patient-derived xenograft model as a test sample. Further, we applied the established nucleus isolation method to analyze frozen primary tissue from two pediatric central nervous system tumors - one pilocytic astrocytoma and one glioblastoma - allowing the identification of distinct tumor cell populations and infiltrating microglia. The results show that our fast, simple and low-cost nuclear isolation protocol provides intact nuclei, which can be used in both droplet-based 3 transcriptome amplification (10X Genomics) and plate-based whole transcriptome amplification (Fluidigm C1) single-cell sequencing platforms, thereby dramatically increasing the potential for application of such methods to rare entities.

cancer biology↗