Distinct distributions of histone marks shape cell identities of murine hepatic progenitors and adult hepatocytes
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE54029 | GEO | 2014/07/01
SECONDARY ACCESSION(S): PRJNA234386
REPOSITORIES: GEO
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Project description:To understand in detail the molecular phases that occur during the differentiation of human embryonic stem cells to hepatocyte-like cells we performed an RNA-seq time course of the stages of differentiation across the 21 day differentiation time course. We used a chemically defined (serum-free) protocol, modified from Si-Tayeb et al., 2010 and Song et al., 2009. We describe acquisition of definitive endoderm characteristics at day 3, followed by hepatoblast charcter at day 7-13 and then maturation to hepatocyte-like cells at day 21.
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Project description:Human stem cell-derived hepatocyte-like cells (HLCs) offer an attractive platform to study liver disease and to test drugs. However, despite their advantages over other hepatocyte culture systems, HLCs lack several in vivo characteristics including cell polarity, which is critical for proper hepatocyte biology. We report a stem cell-based differentiation protocol that uses transwell filters to generate columnar polarized HLCs with clearly defined basolateral and apical membranes separated by tight junctions. Unlike conventional HLCs, polarized HLCs secrete cargo directionally, similar to hepatocytes in vivo. This novel system provides a powerful tool to study hepatocyte biology, disease mechanisms, genetic variation, and drug metabolism in a more physiologically relevant setting.
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Project description:Germline cell-derived pluripotent stem cells (GPSCs) are similar to embryonic stem (ES) cells in that they can proliferate intensively and differentiate into a variety of cell types, including cardiomyocytes and neurons. In this report, mouse GPSCs were induced to differentiate into hepatocytes with very high efficiency, and demonstrated, for the first time, to be functional. These hepatocytes were characterised at cellular and molecular levels. The GPSC-derived hepatocytes not only expressed hepatic markers, but were also metabolically active as shown by albumin and haptoglobin secretion, urea synthesis, glycogen storage and indocyanine green uptake. Previous studies have revealed some inherent differences in gene expression between undifferentiated mouse ES cells and GPSCs. We wanted to investigate whether this difference may impact on the hepatocyte differentiation capacity of the GPSCs. Large-scale gene expression profiling revealed a strong similarity between GPSC and ES cells at different stages of induced hepatic differentiation. Moreover, Pearson correlation analysis of the microarray datasets revealed that, at late hepatic differentiation stages, the in vitro-derived cells were closer to fetal mouse primary hepatocytes. Thus, adult GPSCs offer great potential for cell ment therapy for a wide variety of liver diseases. Mouse ES cells and GPSCs at various times of hepatocyte differentiation, compared to embryonal (E16) and postnatal (PN1) mouse primary hepatocytes. The supplementary file 'GSE19044_non-normalized.txt' contains non-normalized data for Samples GSM471318-GSM471359.
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Project description:Roots are fundamental organs for plant development and response to their environment: they anchor the plant to its growth substrate, uptake nutrients and water vital to plant growth, and can sense and respond to a variety of biotic and abiotic stresses. The architecture of root systems and their growth are known to be strongly affected by the environmental conditions found in the soil. However, the acquisition of cell identities at the root meristem is still mainly viewed as ontogenetically driven, where a small number of stem cells generate all the cell types through stereotyped divisions followed by differentiation, along a simple developmental trajectory. The extent to which environmental cues precisely shape and affect these developmental trajectories remains an open question. We used single-cell RNA-seq, combined with spatial mapping, to deeply explore the trajectories of cell states at the tip of Arabidopsis roots, known to contain multiple developing lineages. Surprisingly, we found that most lineage trajectories exhibit a stereotyped bifid topology with two developmental trajectories rather than one. The formation of one of the trajectories is driven by a strong and specific activation of genes involved in the responses to various environmental stimuli, that affects only of a subset of the cells in multiple cell types simultaneously, revealing another layer of patterning of cell identities in the root that is independent of cell ontogeny. We demonstrate the robustness of this environmentally-responsive transcriptional state by showing that it is present in a mutant where cell type identities are greatly perturbed, as well as in different Arabidopsis ecotypes. We also show that the root can adapt the proportion of cells that acquire this particular state in response to environmental signals such as nutrient availability. The discovery of this transcriptional signature further highlights the adaptive potential of plant development.
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Project description:While it is well established that nanoparticle shape can depend on equilibrium thermodynamics or growth kinetics, recent computational work has suggested the importance of thermal energy in controlling the distribution of shapes in populations of nanoparticles. Here, we used transmission electron microscopy to characterize the shapes of bare platinum nanoparticles and observed a strong dependence of shape distribution on particle size. Specifically, the smallest nanoparticles (<2.5 nm) had a truncated octahedral shape, bound by 〈111〉 and 〈100〉 facets, as predicted by lowest-energy thermodynamics. However, as particle size increased, the higher-energy 〈110〉 facets became increasingly common, leading to a large population of non-equilibrium truncated cuboctahedra. The observed trends were explained by combining atomistic simulations (both molecular dynamics and an empirical square-root bond-cutting model) with Boltzmann statistics. Overall, this study demonstrates experimentally how thermal energy leads to shape variation in populations of metal nanoparticles, and reveals the dependence of shape distributions on particle size. The prevalence of non-equilibrium facets has implications for metal nanoparticles applications from catalysis to solar energy.
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