Dynamic expression patterns for selected regulators and markers

Slides:



Advertisements
Similar presentations
Cluster analysis of 50 genes identified as affecting variability and or pheromone response output Cluster analysis of 50 genes identified as affecting.
Advertisements

Microtubule perturbations affect pathway variability η2(P) and transmitted signal P at or upstream of the Ste5 recruitment step Microtubule perturbations.
GFP‐Sed5p localization defect in sgt2Δ.
DNase‐HS sites are main independent determinants of DNA replication timing Simulations based on genome sequence features (GC content, CpG islands), or.
A culture‐induced TE‐like subpopulation
Abundance of proteins matching selected subcellular locations and functions in CaCo‐2 cells. Abundance of proteins matching selected subcellular locations.
Statistical analysis of the influence of network regulators on topology clusters in the oleate network. Statistical analysis of the influence of network.
Network topology reflects target gene expression profile and function.
by Sonia Nestorowa, Fiona K
(A) Outline of the malignant transformation process.
Sensitivity of RNA‐seq.
Predicted and measured double‐ring formation.
Identification of progenitor states in human cord blood hematopoiesis
Clustering of CD34+ single cells
Comparative analysis of RNA and protein profiles.
Splicing changes in development and aging.
Dose response of pAGA1 and pFIG1 induction
Large‐scale image‐based CRISPR‐Cas9 gene perturbation profiling
Luminex phosphorylation measurements are reproducible and have broad dynamic range Individual difference in insulin‐induced phosphorylation of ERK measured.
Projecting cellular immunophenotypes onto Drop‐seq data
Correlating protein to mRNA and proteins per mRNA ratios
Coupling immunophenotypes to Drop‐seq data
Transcriptional dynamics during lineage commitment
Characterization of promoters relative to pAGA1
Dynamics and variability of SMAD2 signaling in single cells
Detection of specific interacting partners of CBL and CBLB in peripheral CD4+ T cells prior to and following TCR stimulation Detection of specific interacting.
Integrated protein co‐expression and differential expression across the ALS‐FTD disease continuum Integrated protein co‐expression and differential expression.
Dermal architecture is defined by an inverse correlation between fibroblast proliferation and ECM deposition Dermal architecture is defined by an inverse.
Consequences of reducing SF3B2 expression.
Compartment‐specific analysis reveals differences in organelle composition that can be validated by sub‐cellular fractionation Compartment‐specific analysis.
Changes to the growth conditions break the circuit by changing host gene expression Changes to the growth conditions break the circuit by changing host.
Investigating early fate transitions in human bone marrow CD34+ progenitors Investigating early fate transitions in human bone marrow CD34+ progenitors.
Lysozyme expression in isolated Paneth cells and linage tracing of Notch1+ cells Lysozyme expression in isolated Paneth cells and linage tracing of Notch1+
Michal Levin, Tamar Hashimshony, Florian Wagner, Itai Yanai 
Target identification of ampicillin and ciprofloxacin
Effect of the loss of Kar4 on the induction of various promoters
Investigating early fate transitions in human bone marrow
Francis Crick's central dogma of biology revolves around the transcription of mRNA from DNA, the translation of proteins from mRNA, and the degradation.
Allele‐specific expression at single‐cell resolution
Reconstructing the hematopoietic hierarchy from micro‐clusters
Transcriptomic and epigenetic changes associated with Factor 1 in the scMT data Transcriptomic and epigenetic changes associated with Factor 1 in the scMT.
Comparison of proteomics and RNA‐Seq data.
Categorizing cell type‐specific auxin responses.
Dynamics of induction of mating promoters after pheromone stimulation
Effects of ERK–GFP expression levels and cell density on ERK phosphorylation and oscillations. Effects of ERK–GFP expression levels and cell density on.
Impact of growth phase on the Escherichia coli meltome and proteome
Simulation showing that the cell length variability of the entire population can mask abnormal cell length variability at a specific cell cycle period.
Design and optimization of the computational model.
Large‐scale image‐based CRISPR‐Cas9 gene perturbation profiling
Subnetworks enriched for the hallmarks of cancer.
Distinct collagen structures in the upper and lower neonatal dermis (related to Fig 1)‏ Distinct collagen structures in the upper and lower neonatal dermis.
Effect of HDAC inhibition on the steady‐state and dynamic transcriptional response and associated noise. Related to Fig 7 Effect of HDAC inhibition on.
Protein interactions at the nuclear pore.
Melting behavior of protein complexes
Characterising dermis expansion and gene expression changes during mouse development (related to Fig 1)‏ Characterising dermis expansion and gene expression.
Antisense expression associates with larger gene expression variability. Antisense expression associates with larger gene expression variability. (A–D)
Characterization and model parameterization for CcaSR
Global and focused views of human interaction map.
Patterns and regulation of age‐related splicing changes.
Interaction of Gpr1/Gpa2 and Sch9.
Model of differentiation from pluripotent stem cells to terminal dopaminergic neurons Model of differentiation from pluripotent stem cells to terminal.
Glucose pulses incorporate directly into the de novo biomass in non‐dividing cells Glucose pulses incorporate directly into the de novo biomass in non‐dividing.
The transcriptional behavior of GREB1 changes with estrogen dose and exhibits considerable cell‐to‐cell variation (see also Fig EV2 and Movie EV2)‏ The.
Pou5f1 is required for proper developmental timing of gene expression.
Intestinal differentiation is coupled with global rewiring of gene expression Intestinal differentiation is coupled with global rewiring of gene expression.
Sch9 plays a minor role in glucose signaling.
CRISPR‐Cas9 gene perturbation profiling in HeLa cells
CD4-CTL precursor cells in the TEMRA subset.
SY-1425 induces maturation in RARA-high AML
Volume 27, Issue 7, Pages e4 (May 2019)
Presentation transcript:

Dynamic expression patterns for selected regulators and markers Dynamic expression patterns for selected regulators and markers Shown are the expression levels of canonical and novel regulators across the four trajectories, using the same color scheme as Fig 3B. X‐axis reflects the developmental progression across each trajectory, representing the normalized distance from the MST root (Materials and Methods). A local polynomial regression with span = 0.9 was used for smoothing, with the underlying gene expression data shown as individual points.The normalized expression for four Ba/Eo/Ma markers, taken from a microarray dataset of reference progenitor populations (Laurenti et al, 2013). Error bars indicate standard errors across biological replicates (three replicates per population) from the original dataset. For all of these markers, expression is highest in the MEP population, indicating that our Ba/Eo/Ma population is traditionally mixed into the standard MEP gate.Gating strategy to enrich for mast cell progenitors (CD34+ CD117+ FcεRIα+) from human umbilical cord blood mononuclear cells, based on the sorting panel from Dahlin et al (2016). Accompanying table shows the proportion of each sorting gate and sorted cell numbers.Flow cytometry result showing CD71 protein expression on the surface of mast cell progenitors compared with unstained control, showing the enrichment of CD71 surface expression on mast cell progenitors. Shiwei Zheng et al. Mol Syst Biol 2018;14:e8041 © as stated in the article, figure or figure legend