Publications by Gioele La Manno

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Developmental cell death plays an important role in the construction of functional neural circuits. In vertebrates, the canonical view proposes a selection of the surviving neurons through stochastic competition for target-derived neurotrophic signals, imp ...

The myelinated white matter tracts of the central nervous system (CNS) are essential for fast transmission of electrical impulses and are often differentially affected in human neurodegenerative diseases across CNS region, age and sex. We hypothesize that ...

The embryonic neural tube is the origin of the entire adult nervous system, and disturbances in its development cause life-threatening birth defects. However, the study of mammalian neural tube development is limited by the lack of physiologically realisti ...

The mammalian brain develops through a complex interplay of spatial cues generated by diffusible morphogens, cell-cell interactions and intrinsic genetic programs that result in probably more than a thousand distinct cell types. A complete understanding of ...

Human embryonic stem cell-derived retinal pigment epithelial cells (hESC-RPE) are a promising cell source to treat age-related macular degeneration (AMD). Despite several ongoing clinical studies, a detailed mapping of transient cellular states during in v ...

Retinal ganglion cells (RGCs), cone photoreceptors (cones), horizontal cells and amacrine cells are the first classes of neurons produced in the retina. However, an important question is how this diversity of cell states is transcriptionally produced. Here ...

Single-cell and single-nucleus genomic approaches can provide unbiased and multimodal insights. Here, we discuss what constitutes a molecular cell atlas and how to leverage single-cell omics data to generate hypotheses and gain insights into cell transitio ...

Several techniques are currently being developed for spatially resolved omics profiling, but each new method requires the setup of specific detection strategies or specialized instrumentation. Here we describe an imaging-free framework to localize high-thr ...

Human cells produce thousands of lipids that change during cell differentiation and can vary across individual cells of the same type. However, we are only starting to characterize the function of these cell-to-cell differences in lipid composition. Here, ...

Identification of spot-like structures in large, noisy microscopy images is a crucial step for many life-science applications. Imaging-based spatial transcriptomics (iST), in particular, relies on the precise detection of millions of transcripts in low sig ...

The cell types affected by biological perturbations in complex tissues are uncovered by single-cell analysis. ...

Ratz et al. present an easy-to-use method to barcode progenitor cells, enabling profiling of cell phenotypes and clonal relations using single-cell and spatial transcriptomics, providing an integrated approach for understanding brain architecture. ...

The central nervous system develops from a pool of neural progenitors which, depending on their location and time of division, generate cells committed to differentiate into specific kinds of neurons or glia. In the last decades, the developmental neurobio ...

Differential expression analysis of single-cell transcriptomics allows scientists to dissect cell-type-specific responses to biological perturbations. Here, the authors show that many commonly used methods are biased and can produce false discoveries. ...

Giovanni D'Angelo and Gioele La Manno present the concept of lipotypes, and suggest that lipid composition is an important regulator of cell fate. ...

Across biological systems, cells undergo coordinated changes in gene expression, resulting in transcriptome dynamics that unfold within a low-dimensional manifold. While low-dimensional dynamics can be extracted using RNA velocity, these algorithms can be ...

Single-cell transcriptomics enables the measurement of gene expression in complex biological systems at the resolution of individual cells. Multivariate analysis of single-cell data helps describe the variation in expression accompanying cellular processes ...

Gioele La Manno

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A cell fitness selection model for neuronal survival during development

Brain matters: unveiling the distinct contributions of region, age, and sex to glia diversity and CNS function

Self-organizing in vitro mouse neural tube organoids mimic embryonic development

Molecular architecture of the developing mouse brain

Molecular profiling of stem cell-derived retinal pigment epithelial cell differentiation established for clinical translation

Single-cell transcriptional logic of cell-fate specification and axon guidance in early-born retinal neurons

Applying single-cell and single-nucleus genomics to studies of cellular heterogeneity and cell fate transitions in the nervous system

Spatial tissue profiling by imaging-free molecular tomography

Sphingolipids control dermal fibroblast heterogeneity

Spotiflow: accurate and efficient spot detection for fluorescence microscopy with deep stereographic flow regression

Cell type prioritization in single-cell data

Clonal relations in the mouse brain revealed by single-cell and spatial transcriptomics

Heterogeneity and developmental dynamics of mammalian neocortical progenitors

Confronting false discoveries in single-cell differential expression

The lipotype hypothesis

Statistical inference with a manifold-constrained RNA velocity model uncovers cell cycle speed modulations

The emergence and promise of single-cell temporal-omics approaches

The Key Players of CNS function: Exploring the Effects of Region, Age, and Sex on Human Glia Diversity

SINGLE-CELL ANALYSIS From single-cell RNA-seq to transcriptional regulation

Oligodendroglia heterogeneity in the post-mortem human CNS with region, age and sex