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Defining Essential Regulators of Naïve Human Pluripotent Cell Reprogramming

ABSTRACT: Defining how human pluripotent cell identity is controlled and in particular how naïve pluripotency is acquired during cell reprogramming is crucial for the future applications of pluripotent stem cells. However, the regulatory pathways of naïve cell reprogramming remain incompletely understood. Here, we used genome-wide CRISPR-Cas9 screening to identify novel regulators of primed to naïve pluripotent stem cell reprogramming, including genes that are essential for reprogramming and genes that normally impede reprogramming and whose targeted deletion led to enhanced reprogramming. Integrated analysis defined specific chromatin complexes and signalling pathways as critical regulators of naïve reprogramming, and were largely distinct from regulators of somatic cell reprogramming. Mechanistically, PRC1.3 and PRDM14 are jointly required to transcriptionally repress developmental and gene regulatory factors to ensure naïve cell reprogramming. Additionally, small molecule inhibitors of reprogramming impediments increased the efficiency of naïve cell reprogramming, and are of practical benefit that can improve on current reprogramming methods. Taken together, we have identified novel regulators controlling the establishment of naïve pluripotency in human cells, which will open up new ways to exploit the full potential of pluripotent stem cells. These results also provide new insights into mechanisms that destabilise and reconfigure cell identity during cell state transitions.

INSTRUMENT(S): Orbitrap Fusion Lumos

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Stem Cell

DISEASE(S): Disease Free

SUBMITTER: Valar Nila Roamio Franklin

LAB HEAD: Clive D' Santos

PROVIDER: PXD023547 | Pride | 2022-04-06

REPOSITORIES: Pride

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			Action	DRS
	Lumos_HPSC_16Plex_Fraction_01.raw	Raw
	Lumos_HPSC_16Plex_Fraction_02.raw	Raw
	Lumos_HPSC_16Plex_Fraction_03.raw	Raw
	Lumos_HPSC_16Plex_Fraction_04.raw	Raw
	Lumos_HPSC_16Plex_Fraction_05.raw	Raw

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Project description:The reconstruction of cell type- and patient-specific metabolic models from easily and reliably measurable features such as transcriptomics data will be increasingly important at the age of personalized medicine. Current reconstruction methods suffer from high computational effort and arbitrary threshold setting. Moreover, understanding the underlying epigenetic regulation might allow the identification of putative intervention points within metabolic networks. Genes under high regulatory load from multiple enhancers or super-enhancers are known key genes for disease and cell identity. However, their role in regulation of metabolism and their placement within the metabolic networks has not been studied. Here we present FASTCORMICS, a fast and robust workflow for the creation of high-quality metabolic models from transcriptomics data. FASTCORMICS is devoid of arbitrary parameter settings and due to its low computational demand allows cross-validation assays.. Applying FASTCORMICS, we have generated models for 63 primary human cell types from microarray data, revealing significant differences in their metabolic networks. To understand the cell type-specific regulation of the alternative metabolic pathways we built multiple models during differentiation of primary human monocytes to macrophages and performed ChIP-Seq experiments for histone H3 K27 acetylation (H3K27ac) to map the active enhancers in macrophages. Focusing on the metabolic genes under high regulatory load from multiple enhancers or super-enhancers, we found these genes to show the most cell type-restricted and abundant expression profiles within their respective pathways. Importantly, the high regulatory load genes are associated to reactions enriched for transport reactions and other pathway entry points, suggesting that they are critical regulatory control points for cell type-specific metabolism. By integrating metabolic modelling and epigenomic analysis we have identified high regulatory load as a common feature of metabolic genes at pathway entry points such as transporters within the macrophage metabolic network. Analysis of these control points through further integration of metabolic and gene regulatory networks in various contexts could be beneficial in multiple fields from identification of disease intervention strategies to cellular reprogramming. ChIP-Seq was performed with chromatin from macrophages differentiated in vitro for 11 days from primary human CD14+ monocytes isolated from the blood of three different anonymous male donors. For each donor one ChIP sample using an antibody against H3K27ac and one input sample were sequenced. Please see the individual samples for further details.

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Defining Essential Regulators of Naïve Human Pluripotent Cell Reprogramming

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