Search Results - "Ascensión, Alex M."
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Human Dermal Fibroblast Subpopulations Are Conserved across Single-Cell RNA Sequencing Studies
Published in Journal of investigative dermatology (01-07-2021)“…On the basis of their differential location within the dermis and of discrete changes in gene and protein expression, two major fibroblast subtypes (papillary…”
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Lack of evidence for increased transcriptional noise in aged tissues
Published in eLife (28-12-2022)“…Aging is often associated with a loss of cell type identity that results in an increase in transcriptional noise in aged tissues. If this phenomenon reflects a…”
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Inflammation-mediated fibroblast activation and immune dysregulation in collagen VII-deficient skin
Published in Frontiers in immunology (20-09-2023)“…Inflammation is known to play a critical role in all stages of tumorigenesis; however, less is known about how it predisposes the tissue microenvironment…”
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HuR/ELAVL1 drives malignant peripheral nerve sheath tumor growth and metastasis
Published in The Journal of clinical investigation (01-07-2020)“…Cancer cells can develop a strong addiction to discrete molecular regulators, which control the aberrant gene expression programs that drive and maintain the…”
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Signal Integration and Transcriptional Regulation of the Inflammatory Response Mediated by the GM-/M-CSF Signaling Axis in Human Monocytes
Published in Cell reports (Cambridge) (22-10-2019)“…In recent years, the macrophage colony-stimulating factor (M-CSF) and granulocyte-macrophage CSF (GM-CSF) cytokines have been identified as opposing regulators…”
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NaviSE: superenhancer navigator integrating epigenomics signal algebra
Published in BMC bioinformatics (06-06-2017)“…Superenhancers are crucial structural genomic elements determining cell fate, and they are also involved in the determination of several diseases, such as…”
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Challenges and Opportunities for the Translation of Single-Cell RNA Sequencing Technologies to Dermatology
Published in Life (Basel, Switzerland) (04-01-2022)“…Skin is a complex and heterogeneous organ at the cellular level. This complexity is beginning to be understood through the application of single-cell genomics…”
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Triku: a feature selection method based on nearest neighbors for single-cell data
Published in Gigascience (12-03-2022)“…Abstract Background Feature selection is a relevant step in the analysis of single-cell RNA sequencing datasets. Most of the current feature selection methods…”
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The need to reassess single-cell RNA sequencing datasets: the importance of biological sample processing [version 2; peer review: 2 approved]
Published in F1000 research (2021)“…Background: The advent of single-cell RNA sequencing (scRNAseq) and additional single-cell omics technologies have provided scientists with unprecedented tools…”
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FOntCell: Fusion of Ontologies of Cells
Published in Frontiers in cell and developmental biology (11-02-2021)“…High-throughput cell-data technologies such as single-cell RNA-seq create a demand for algorithms for automatic cell classification and characterization. There…”
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The need to reassess single-cell RNA sequencing datasets: more is not always better [version 1; peer review: 2 approved with reservations]
Published in F1000 research (2021)“…Background: The advent of single-cell RNA sequencing (scRNAseq) and additional single-cell omics technologies have provided scientists with unprecedented tools…”
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BigMPI4py: Python Module for Parallelization of Big Data Objects Discloses Germ Layer Specific DNA Demethylation Motifs
Published in IEEE/ACM transactions on computational biology and bioinformatics (01-05-2022)“…Parallelization in Python integrates Message Passing Interface via the mpi4py module. Since mpi4py does not support parallelization of objects greater than…”
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