Tag: pseudotime

Tox4 regulates transcriptional elongation and reinitiation during murine T cell development

Pan-hematopoietic Tox4 deletion reduces number of multipotential progenitors and impairs T cell development To understand the role of TOX4 in development, we generated Tox4 conditional knockout mice by the CRISPR-Cas9 methodology, and two loxP sites in the same orientation were inserted upstream and downstream of exons 4–6, respectively (Supplementary Fig. 1a). Considering…

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Transfer learning enables predictions in network biology

Vaswani, A. et al. Attention is all you need. Preprint at doi.org/10.48550/arXiv.1706.03762 (2017). Devlin, J., Chang, M. W., Lee, K. & Toutanova, K. BERT: pre-training of deep bidirectional transformers for language understanding. In Proc. 2019 Conference North American Chapter of the Association for Computational Linguistics: Human Language Technologies Vol. 1…

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Single-cell RNA sequencing reveals the fragility of male spermatogenic cells to Zika virus-induced complement activation

Cell clusters in ZIKV-infected mouse testis defined by scRNA-Seq To investigate the influence of ZIKV infection on testes, testicular cells from ZIKV-infected (14 dpi.) and uninfected A6 male mice (Ifnar−/− mice) were analyzed by single-cell RNA sequencing (scRNA-Seq). After filtering out poor-quality cells, 11014 cells in control testes and 11974…

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Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data | Genome Biology

Overview of the study To uncover the contexts and biological processes that affect gene expression regulation, this study took advantage of both the resolution of single-cell data and the directionality captured by co-eQTLs. First, we constructed cell-type-specific co-expression networks using five scRNA-seq PBMC datasets from three recently generated PBMC scRNA-seq…

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Motixafortide and G-CSF to mobilize hematopoietic stem cells for autologous transplantation in multiple myeloma: a randomized phase 3 trial

Patient demographics were comparable across study cohorts From 22 January 2018 to 30 October 2020, a total of 122 patients from 18 sites in five countries were enrolled and randomized 2:1 to receive either motixafortide + G-CSF (80 patients) or placebo + G-CSF (42 patients) for HSPC mobilization (Fig. 1 and Extended Data Fig. 1a). Demographics between the two treatment…

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Pseudotemporal ordering of spatial lymphoid tissue microenvironment profiles trails Unclassified DLBCL at the periphery of the follicle

Abstract We have established a pseudotemporal ordering for the transcriptional signatures of distinct microregions within reactive lymphoid tissues, namely germinal center dark zones (DZ), germinal center light zones (LZ), and peri-follicular areas (Peri). By utilizing this pseudotime trajectory derived from the functional microenvironments of DZ, LZ, and Peri, we have…

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New technology maps where and how cells read their genome

Design and evaluation of spatial epigenome–transcriptome cosequencing with E13 mouse embryo. a, Schematic workflow. b, Comparison of number of unique fragments and fraction of reads in peaks (FRiP) in spatial ATAC–RNA-seq and spatial CUT&Tag–RNA-seq. c, Gene and UMI count distribution in spatial ATAC–RNA-seq and spatial CUT&Tag–RNA-seq. Number of pixels in…

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The gut microbiome modulates the transformation of microglial subtypes

Single-cell nucleus RNA-seq profiling of Hip and PFC A schematic of nuclei isolation and the snRNA-seq workflow from the Hip and PFC is shown in Fig. 1a. Using the droplet-based single-nucleus method, we captured 72,226, and 67,698 nuclei from the Hip and PFC, respectively, in the 9 mice (3 per group)….

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single-cell pseudotime analysis with monocle3

single-cell pseudotime analysis with monocle3 0 I have a question regarding pseudotime analysis. It seems, this analysis is done over only a certain cell type. However, I am wondering if we can apply it on all the cells we got from UMAP out of single-cell analysis. Can we? Also, If…

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Automating iPSC generation to enable autologous photoreceptor cell replacement therapy | Journal of Translational Medicine

Starzl TE. The early days of transplantation. JAMA. 1994;272(21):1705. Article  CAS  PubMed  PubMed Central  Google Scholar  Vanholder R, Dominguez-Gil B, Busic M, Cortez-Pinto H, Craig JC, Jager KJ, et al. Organ donation and transplantation: a multi-stakeholder call to action. Nat Rev Nephrol. 2021;17(8):554–68. Article  PubMed  PubMed Central  Google Scholar  Aubert…

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A molecular atlas reveals the tri-sectional spinning mechanism of spider dragline silk

Chromosomal-scale genome assembly and full spidroin gene set of T. clavata To explore dragline silk production in T. clavata, we sought to assemble a high-quality genome of this species. Thus, we first performed a cytogenetic analysis of T. clavata captured from the wild in Dali City, Yunnan Province, China, and…

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Seurat SmartSeq A.10-12

seurat v3 object ASSAYS: RNA: mRNA expression data DIMENSIONALITY REDUCTION projected: Data was projected on the main AML dataset from Cohorts A and B. scanorama: Data was integrated with Scanorama, using the patient as Batch key umap: umap computed from Scanorama components METADATA patient: Patient ct: Projected cell type (Triana…

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Human fetal cerebellar cell atlas informs medulloblastoma origin and oncogenesis

Wang, J., Garancher, A., Ramaswamy, V. & Wechsler-Reya, R. J. Medulloblastoma: from molecular subgroups to molecular targeted therapies. Annu. Rev. Neurosci. 41, 207–232 (2018). Article  CAS  PubMed  Google Scholar  Cavalli, F. M. G. et al. Intertumoral heterogeneity within medulloblastoma subgroups. Cancer Cell 31, 737–754.e736 (2017). Article  CAS  PubMed  PubMed Central …

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Long-range phasing of dynamic, tissue-specific and allele-specific regulatory elements

Baylin, S. B. & Jones, P. A. A decade of exploring the cancer epigenome – biological and translational implications. Nat. Rev. Cancer 11, 726–734 (2011). CAS  PubMed  PubMed Central  Article  Google Scholar  Greenberg, M. V. C. & Bourc’his, D. The diverse roles of DNA methylation in mammalian development and disease….

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Polygenic enrichment distinguishes disease associations of individual cells in single-cell RNA-seq data

Visscher, P. M. et al. 10 years of GWAS discovery: biology, function, and translation. Am. J. Hum. Genet. 101, 5–22 (2017). CAS  PubMed  PubMed Central  Article  Google Scholar  Hekselman, I. & Yeger-Lotem, E. Mechanisms of tissue and cell-type specificity in heritable traits and diseases. Nat. Rev. Genet. 21, 137–150 (2020)….

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Human distal lung maps and lineage hierarchies reveal a bipotent progenitor

Verleden, S. E. et al. Small airways pathology in idiopathic pulmonary fibrosis: a retrospective cohort study. Lancet Respir. Med. 8, 573–584 (2020). CAS  PubMed  PubMed Central  Google Scholar  Hogg, J. C., Macklem, P. T. & Thurlbeck, W. M. The resistance of small airways in normal and diseased human lungs. Aspen…

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DESeq2 pseudotime series design?

DESeq2 pseudotime series design? 1 @jordiplanells-19865 Last seen 22 hours ago Sweden Hi all. First things first, sorry for posting one more question about experimental design and time series in DESeq2.We have performed RNA-seq with two different treatments (control and protein over-expression) in two different time points (t=0 and t=8h)….

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Single-cell delineation of lineage and genetic identity in the mouse brain

STICR lentiviral library preparation and validation We synthesized a high-complexity lentivirus barcode library that encodes approximately 60–70 million distinct oligonucleotide RNA sequences (STICR barcodes). STICR barcodes comprised three distinct oligonucleotide fragments cloned sequentially into a multicloning site within the 3′ UTR of an enhanced green fluorescent protein (eGFP) transgene under…

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Which trajectory method is better !?

Which trajectory method is better !? 2 Hello I was engaged with a basic problem. I have dataset consist ~2000 cells and composed 8-9 clusters using Seurat package, then I transfer Seurat object to the Monocle. I tried monocle2 and monocle3. The problem is, how to make the trajectory ?…

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Extract root(start) and leaf(end) states programmatically in monocle2

Extract root(start) and leaf(end) states programmatically in monocle2 0 Dear bioinformaticians, do you know how to extract starting state and end states from the CDS in monocle2 ? I know I can detect them visually inspecting the States plot after I compute the pseudotime. I am asking if there is…

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Trouble running Cyclum for my scRNA-seq analysis

I have been analyzing some mouse T cell scRNA-seq data for a few months now using mostly the Seurat pipeline run with default parameters, and I have noticed that regressing out the ‘S.Score’ and ‘G2M.Score’ obtained from default Seurat::CellCycleScoring seems to be insufficient to remove (seemingly large) variation originating from…

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Bioconductor – traviz (development version)

DOI: 10.18129/B9.bioc.traviz     This is the development version of traviz; to use it, please install the devel version of Bioconductor. Trajectory functions for visualization and interpretation. Bioconductor version: Development (3.14) traviz provides a suite of functions to plot trajectory related objects from Bioconductor packages. It allows plotting trajectories in…

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heatmap of genes pseudotime in monoclle3

heatmap of genes pseudotime in monoclle3 0 Login before adding your answer. Traffic: 1946 users visited in the last hour Source link

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