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Novel insights into embryonic stem cell self-renewal revealed through comparative human and mouse systems biology networks.

ABSTRACT: Embryonic stem cells (ESCs), characterized by their ability to both self-renew and differentiate into multiple cell lineages, are a powerful model for biomedical research and developmental biology. Human and mouse ESCs share many features, yet have distinctive aspects, including fundamental differences in the signaling pathways and cell cycle controls that support self-renewal. Here, we explore the molecular basis of human ESC self-renewal using Bayesian network machine learning to integrate cell-type-specific, high-throughput data for gene function discovery. We integrated high-throughput ESC data from 83 human studies (~1.8 million data points collected under 1,100 conditions) and 62 mouse studies (~2.4 million data points collected under 1,085 conditions) into separate human and mouse predictive networks focused on ESC self-renewal to analyze shared and distinct functional relationships among protein-coding gene orthologs. Computational evaluations show that these networks are highly accurate, literature validation confirms their biological relevance, and reverse transcriptase polymerase chain reaction (RT-PCR) validation supports our predictions. Our results reflect the importance of key regulatory genes known to be strongly associated with self-renewal and pluripotency in both species (e.g., POU5F1, SOX2, and NANOG), identify metabolic differences between species (e.g., threonine metabolism), clarify differences between human and mouse ESC developmental signaling pathways (e.g., leukemia inhibitory factor (LIF)-activated JAK/STAT in mouse; NODAL/ACTIVIN-A-activated fibroblast growth factor in human), and reveal many novel genes and pathways predicted to be functionally associated with self-renewal in each species. These interactive networks are available online at www.StemSight.org for stem cell researchers to develop new hypotheses, discover potential mechanisms involving sparsely annotated genes, and prioritize genes of interest for experimental validation.

SUBMITTER: Dowell KG

PROVIDER: S-EPMC4404315 | biostudies-literature | 2014 May

REPOSITORIES: biostudies-literature

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Novel insights into embryonic stem cell self-renewal revealed through comparative human and mouse systems biology networks.

Dowell Karen G KG Simons Allen K AK Bai Hao H Kell Braden B Wang Zack Z ZZ Yun Kyuson K Hibbs Matthew A MA

Stem cells (Dayton, Ohio) 20140501 5

Embryonic stem cells (ESCs), characterized by their ability to both self-renew and differentiate into multiple cell lineages, are a powerful model for biomedical research and developmental biology. Human and mouse ESCs share many features, yet have distinctive aspects, including fundamental differences in the signaling pathways and cell cycle controls that support self-renewal. Here, we explore the molecular basis of human ESC self-renewal using Bayesian network machine learning to integrate cel ...[more]

PMID: 24307629

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Project description:Due to the limited understanding of self-renewal and pluripotency related signaling in stem cells, extracting information from genome-wide expression data is not only important but also challenging. With the combined use of two methods, we analyzed a set of microarray data at 11 time points from three mouse embryonic stem cell lines cultivated with and without leukemia inhibitory factor (LIF) for 14 days. Albeit the expression of individual genes in signaling pathways was not noticeably different between cells cultivated with and without LIF, at gene-set level the expression of ERK/MAPK (but not JAK/STAT) and cell cycle related genes was found significantly enriched in cells cultivated with LIF. This indicates that the Ras/Raf/ERK pathway, in addition to JAK/STAT, may also be a key player to carry on external LIF signal into mouse embryonic stem cells to promote self-renewal. When data at the first 7 time points were compared with data at the last 4 time points, the expression of several cell cycle related gene sets was apparently enriched in all three cell lines, indicating the active cell proliferation in the first 2 days. Compared with the slight decay of Oct4/Nanog/Sox2 during the 14 days, the expression of cell differentiation genes such as Gata4/6 underwent a drastic increase, which indicates that the upregulated expression of cell differentiation genes may better reflect the loss of self renewal than the down regulated expression of the stemness indicators Oct4, Sox2 and Nanog. Apart from differential expression and gene set enrichment analyses, a clustering algorithm was also used to classify genes into co-expression clusters. The possible regulation of two clusters, whose expression was most changed during cell culture from very low to very high, was explored. The drastic changes of these genes, including Slc39a8 which was a potential indicator of cell differentiation, in contrast the slight changes of self-renewal genes, imply that differentiation may be the default fate of stem cells and self-renewal may rely on a maintenance mechanism. When that mechanism weakens, cell differentiation begins.

Project description:Self-renewal of embryonic stem cells (ESCs) is orchestrated by a vast number of genes at the transcriptional and translational levels. However, the molecular mechanisms of post-translational regulatory factors in ESC self-renewal remain unclear. Histidine phosphorylation, also known as hidden phosphorylation, cannot be detected by conventional experimental methods. A recent study defined phospholysine phosphohistidine inorganic pyrophosphate phosphatase (LHPP) as a histidine phosphatase, which regulates various biological behaviors in cells via histidine dephosphorylation. In this study, the doxycycline (DOX)-induced hLHPP-overexpressing mouse ESCs and mouse LHPP silenced mESCs were constructed. Quantitative polymerase chain reaction (qPCR), western blotting analysis, immunofluorescence, Flow cytometry, colony formation assays, alkaline phosphatase (AP) and bromodeoxyuridine (Brdu) staining were performed. We found that the histidine phosphorylation level was strikingly reduced following LHPP overexpression. Besides, the expression of Oct4 and Lefty1, indispensable genes in the process of ESCs self-renewal, was significantly down-regulated, while markers related to the differentiation were markedly elevated. Moreover, LHPP-mediated histidine dephosphorylation induced G0/G1 phase arrest in mESCs, suggesting LHPP was implicated in cell proliferation and cell cycle. Conversely, silencing of Lhpp promoted the self-renewal of mESCs and reversed the RA induced increased expression of genes associated with differentiation. Mechanistically, our findings suggested that the enzymatic active site of LHPP was the cysteine residue at position 226, not 53. LHPP-mediated histidine dephosphorylation lowered the expression levels of β-catenin and the cell cycle-related genes CDK4 and CyclinD1, while it up-regulated the cell cycle suppressor genes P21 and P27. Taken together, our findings reveal that LHPP-mediated histidine dephosphorylation plays a role in the self-renewal of ESCs. LHPP-mediated histidine dephosphorylation inhibited the self-renewal of ESCs by negatively regulating the Wnt/β-catenin pathway and downstream cell cycle-related genes, providing a new perspective and regulatory target for ESCs self-renewal.

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Novel insights into embryonic stem cell self-renewal revealed through comparative human and mouse systems biology networks.

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Novel insights into embryonic stem cell self-renewal revealed through comparative human and mouse systems biology networks.

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