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Showing 1 to 9 of 9 for “"Transcriptional variability"”.

  1. Comparison of dispersion metrics for estimating transcriptional noise in single-cell RNA-seq data and applications to cardiomyocyte biology

    … level, burst frequency, amplitude, and variability. Single-cell RNA sequencing data analysis often focuses on comparing transcription levels. However, these analyses capture only a portion of the wealth of information conveyed by transcription. The quantification and analysis of …

    mit Repository record for Comparison of dispersion metrics for estimating transcriptional noise in single-cell RNA-seq data and applications to cardiomyocyte biology (opens in a new tab)

  2. Quantifying expression variability in single-cell RNA sequencing data

    Transcriptional noise is an intrinsic feature of cell populations and plays a driving role in mammalian development, tissue homoeostasis and immune function. While expression heterogeneity, a phenotypic readout of transcriptional noise, has been broadly studied in prokaryotic model systems or by …

    cambridge Repository record for Quantifying expression variability in single-cell RNA sequencing data (opens in a new tab)

  3. Computational Analysis of Transcriptional Regulation

    … organisation of eukaryotic genomes and the post-transcriptional control of RNA fates. Eukaryotic nuclear DNA is tightly packaged as chromatin that is further folded into higher order structures. The 3D folding of eukaryotic genome lends itself to the formation of interactions between otherwise …

    cambridge Repository record for Computational Analysis of Transcriptional Regulation (opens in a new tab)

  4. The role of non-genetic variability in Acute Myeloid Leukaemia

    … It has a strong reliance on epigenetic and transcriptional factors for disease progression. Accordingly, my lab has previously identified KAT2A, a histone acetyl-transferase, as a requirement for AML maintenance, where chemical inhibition of KAT2A promotes differentiation of AML cell lines …

    cambridge Repository record for The role of non-genetic variability in Acute Myeloid Leukaemia (opens in a new tab)

  5. Modelling metabolic landscapes in human naive and primed embryonic stem cells

    … allows us to directly investigate the effect of transcriptional variability on the metabolism of the cells. Analysis of these modelling results shows that PCA of all reaction fluxes reveals clear differences between naive and primed cells, but interestingly also reveals subgroups within each cell …

    cambridge Repository record for Modelling metabolic landscapes in human naive and primed embryonic stem cells (opens in a new tab)

  6. The interaction of promoter chromatin architecture with the cell cycle regulates transcription activation kinetics

    … gene's cis-regulatory sequence elements and the transcriptional output of that gene is fundamental to even the most complex network behaviors such as metabolism and differentiation. In eukaryotes, chromatin dynamics on gene promoter sequences is an integral part of regulation, and nucleosome …

    mit Repository record for The interaction of promoter chromatin architecture with the cell cycle regulates transcription activation kinetics (opens in a new tab)

  7. DNA methylation: a model system for the study of ageing

    … I found that with age there was increased global transcriptional variability and increased feature-specific methylome variability. These findings explain the loss of functionality of these cells with age. Lastly, I describe two imaging approaches to study DNA methylation dynamically in single …

    cambridge Repository record for DNA methylation: a model system for the study of ageing (opens in a new tab)

  8. Deciphering Leukaemogenic Mechanisms through System-Scale Analysis of Single-Cell RNA Sequencing Data

    … this dysregulation is proposed to occur at the transcriptional level, and recent technological advancements in single-cell sequencing have made it possible to study the transcriptional effects of leukaemic perturbations at the scale of individual haematopoietic stem and progenitor cells. …

    cambridge Repository record for Deciphering Leukaemogenic Mechanisms through System-Scale Analysis of Single-Cell RNA Sequencing Data (opens in a new tab)

  9. Transcriptomic profiling of human cells destined for therapeutic applications

    … (BMAC), which introduces tissue dependent variability between MSC-based cell products that also differ according to donor. Furthermore, manufacturing processes vary between sites (both clinical and commercial), leading to process-dependent variability. These sources of variability across …

    gatech Repository record for Transcriptomic profiling of human cells destined for therapeutic applications (opens in a new tab)