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references into notebooks (pancreas)
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ilibarra committed Aug 26, 2024
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"source": [
"\n",
"In this tutorial we demonstrate the applicability of mubind in a case where an arbitrarily complex graph is provided as a prior for the Graph Layer.\n",
"The utilized dataset is from mouse pancreatic endocrinogenesis multiome (paired scRNA- and scATAC-seq) {cite}pan:22 [GEO](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE275562)"
"The utilized dataset is from mouse pancreatic endocrinogenesis multiome (paired scRNA- and scATAC-seq) :cite:`Klein2023` [GEO](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE275562)"
]
},
{
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117 changes: 117 additions & 0 deletions docs/references.bib
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title = {Prediction of protein{\textendash}ligand binding affinity from sequencing data with interpretable machine learning},
journal = {Nature Biotechnology}
}


@ARTICLE{Hochgerner2018,
title = "Conserved properties of dentate gyrus neurogenesis across
postnatal development revealed by single-cell {RNA} sequencing",
author = "Hochgerner, Hannah and Zeisel, Amit and L{\"o}nnerberg, Peter and
Linnarsson, Sten",
abstract = "The dentate gyrus of the hippocampus is a brain region in which
neurogenesis persists into adulthood; however, the relationship
between developmental and adult dentate gyrus neurogenesis has
not been examined in detail. Here we used single-cell RNA
sequencing to reveal the molecular dynamics and diversity of
dentate gyrus cell types in perinatal, juvenile, and adult mice.
We found distinct quiescent and proliferating progenitor cell
types, linked by transient intermediate states to neuroblast
stages and fully mature granule cells. We observed shifts in the
molecular identity of quiescent and proliferating radial glia and
granule cells during the postnatal period that were then
maintained through adult stages. In contrast, intermediate
progenitor cells, neuroblasts, and immature granule cells were
nearly indistinguishable at all ages. These findings demonstrate
the fundamental similarity of postnatal and adult neurogenesis in
the hippocampus and pinpoint the early postnatal transformation
of radial glia from embryonic progenitors to adult quiescent stem
cells.",
journal = "Nat. Neurosci.",
volume = 21,
number = 2,
pages = "290--299",
month = feb,
year = 2018,
language = "en"
}


@ARTICLE{Noack2022,
title = "Multimodal profiling of the transcriptional regulatory landscape
of the developing mouse cortex identifies Neurog2 as a key
epigenome remodeler",
author = "Noack, Florian and Vangelisti, Silvia and Raffl, Gerald and
Carido, Madalena and Diwakar, Jeisimhan and Chong, Faye and
Bonev, Boyan",
abstract = "How multiple epigenetic layers and transcription factors (TFs)
interact to facilitate brain development is largely unknown.
Here, to systematically map the regulatory landscape of neural
differentiation in the mouse neocortex, we profiled gene
expression and chromatin accessibility in single cells and
integrated these data with measurements of enhancer activity, DNA
methylation and three-dimensional genome architecture in purified
cell populations. This allowed us to identify thousands of new
enhancers, their predicted target genes and the temporal
relationships between enhancer activation, epigenome remodeling
and gene expression. We characterize specific neuronal
transcription factors associated with extensive and frequently
coordinated changes across multiple epigenetic modalities. In
addition, we functionally demonstrate a new role for Neurog2 in
directly mediating enhancer activity, DNA demethylation,
increasing chromatin accessibility and facilitating chromatin
looping in vivo. Our work provides a global view of the gene
regulatory logic of lineage specification in the cerebral cortex.",
journal = "Nat. Neurosci.",
volume = 25,
number = 2,
pages = "154--167",
month = feb,
year = 2022,
language = "en"
}

@UNPUBLISHED{Klein2023,
title = "Mapping cells through time and space with moscot",
author = "Klein, Dominik and Palla, Giovanni and Lange, Marius and Klein,
Michal and Piran, Zoe and Gander, Manuel and Meng-Papaxanthos,
Laetitia and Sterr, Michael and Bastidas-Ponce, Aim{\'e}e and
Tarquis-Medina, Marta and Lickert, Heiko and Bakhti, Mostafa and
Nitzan, Mor and Cuturi, Marco and Theis, Fabian J",
abstract = "Single-cell genomics technologies enable multimodal profiling of
millions of cells across temporal and spatial dimensions.
Experimental limitations prevent the measurement of
all-encompassing cellular states in their native temporal
dynamics or spatial tissue niche. Optimal transport theory has
emerged as a powerful tool to overcome such constraints, enabling
the recovery of the original cellular context. However, most
algorithmic implementations currently available have not kept up
the pace with increasing dataset complexity, so that current
methods are unable to incorporate multimodal information or scale
to single-cell atlases. Here, we introduce multi-omics
single-cell optimal transport (moscot), a general and scalable
framework for optimal transport applications in single-cell
genomics, supporting multimodality across all applications. We
demonstrate moscot's ability to efficiently reconstruct
developmental trajectories of 1.7 million cells of mouse embryos
across 20 time points and identify driver genes for first heart
field formation. The moscot formulation can be used to transport
cells across spatial dimensions as well: To demonstrate this, we
enrich spatial transcriptomics datasets by mapping multimodal
information from single-cell profiles in a mouse liver sample,
and align multiple coronal sections of the mouse brain. We then
present moscot.spatiotemporal, a new approach that leverages gene
expression across spatial and temporal dimensions to uncover the
spatiotemporal dynamics of mouse embryogenesis. Finally, we
disentangle lineage relationships in a novel murine,
time-resolved pancreas development dataset using paired
measurements of gene expression and chromatin accessibility,
finding evidence for a shared ancestry between delta and epsilon
cells. Moscot is available as an easy-to-use, open-source python
package with extensive documentation at . \#\#\# Competing
Interest Statement F.J.T. consults for Immunai Inc., Singularity
Bio B.V., CytoReason Ltd, Cellarity, and Omniscope Ltd, and has
ownership interest in Dermagnostix GmbH and Cellarity. The
remaining authors declare no competing interests.",
journal = "bioRxiv",
pages = "2023.05.11.540374",
month = may,
year = 2023,
language = "en"
}
3 changes: 3 additions & 0 deletions docs/references.md
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[BMC Bioinformatics](https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-021-04201-9)

* **[Klein2023]**

Klein *et al.* (2023)
*Klein, D. et al. Mapping cells through time and space with moscot.*
[bioRxiv](https://www.biorxiv.org/content/10.1101/2023.05.11.540374v2)

* **[Hochgerner2018]**

Hochgerner *et al.* (2018)
*Conserved properties of dentate gyrus neurogenesis across postnatal development revealed by single-cell RNA sequencing*
[Nature Neuroscience](https://www.nature.com/articles/s41593-017-0056-2)

* **[Noack2022]**

Noack *et al.* (2018)
*Multimodal profiling of the transcriptional regulatory landscape of the developing mouse cortex identifies Neurog2 as a key epigenome remodeler*
[Nature Neuroscience](https://www.nature.com/articles/s41593-021-01002-4)

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