scispace - formally typeset
J

Jordi Solana

Researcher at Max Delbrück Center for Molecular Medicine

Publications -  18
Citations -  1995

Jordi Solana is an academic researcher from Max Delbrück Center for Molecular Medicine. The author has contributed to research in topics: Planarian & Stem cell. The author has an hindex of 12, co-authored 14 publications receiving 1346 citations. Previous affiliations of Jordi Solana include University of Barcelona & University of Nottingham.

Papers
More filters
Journal ArticleDOI

PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells

TL;DR: Partition-based graph abstraction (PAGA) provides an interpretable graph-like map of the arising data manifold, based on estimating connectivity of manifold partitions, which preserves the global topology of data, allow analyzing data at different resolutions, and result in much higher computational efficiency of the typical exploratory data analysis workflow.
Journal ArticleDOI

Cell type atlas and lineage tree of a whole complex animal by single-cell transcriptomics

TL;DR: This work applied single-cell transcriptomics to regenerating planarians and characterized how each cell type in the adult planarian body dynamically responds to regenerative body remodeling at the transcriptomic and cellular levels.
Journal ArticleDOI

Gene expression of pluripotency determinants is conserved between mammalian and planarian stem cells

TL;DR: In this article, the authors analyzed the gene expression in freshwater planaria and found conserved expression of epigenetic regulators and demonstrated their requirement for planarian regeneration by knockdown experiments.
Journal ArticleDOI

Defining the molecular profile of planarian pluripotent stem cells using a combinatorial RNA-seq, RNA interference and irradiation approach

TL;DR: The use of Smed-histone-2B RNA interference for genetic ablation of neoblast cells in Schmidtea mediterranea is introduced and data reveal that the regulation of planarian stem cells relies on posttranscriptional regulatory mechanisms and suggest that planarians are an ideal model for this understudied aspect of stem cell biology.
Posted ContentDOI

Graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells

TL;DR: The method is demonstrated by inferring structure-rich cell maps with consistent topology across four hematopoietic datasets, confirm the reconstruction of lineage relations of adult planaria and the zebrafish embryo, benchmark computational performance on a neuronal dataset and detect a biological trajectory in one deep-learning processed image dataset.