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The liver is an indispensable organ for metabolism and drug detoxification. The liver consists of endoderm-derived hepatobiliary lineages and various mesoderm-derived cells, and interacts with the surrounding tissues and organs through the ventral mesentery. Liver development, from hepatic specification to liver maturation, requires close interactions with mesoderm-derived cells, such as mesothelial cells, hepatic stellate cells, mesenchymal cells, liver sinusoidal endothelial cells and hematopoietic cells. These cells affect liver development through precise signaling events and even direct physical contact. Through the use of new techniques, emerging studies have recently led to a deeper understanding of liver development and its related mechanisms, especially the roles of mesodermal cells in liver development. Based on these developments, the current protocols for in vitro hepatocyte-like cell induction and liver-like tissue construction have been optimized and are of great importance for the treatment of liver diseases. Here, we review the roles of mesoderm-derived cells in the processes of liver development, hepatocyte-like cell induction and liver-like tissue construction.

Glioblastoma (GBM) is one of the most deadly primary malignant brain tumors in adults. R132H mutation of isocitrate dehydrogenase 1 (IDH1) predicts a better prognosis of GBM. IDH1-R132H is associated with increased hypoxia-inducible factor-1α (HIF-1α) expression in GBM tumors. However, the molecular mechanism underlying IDH1-R132H-HIF-1α signaling in GBM is still unclear.We aimed to investigate the molecular pathway of IDH1-R132H-HIF-1α in the regulation of GBM.U87 and U251 GBM cells and xenograft tumor mice were used.We found that overexpression of IDH1-R132H decreased cell proliferation, increased apoptosis, decreased migration and invasion, enhanced temozolomide (TMZ)-induced cytotoxicity, and reduced tumor growth in xenograft mice. Overexpression of IDH1-R132H increased the expression of HIF-1α and downregulation of HIF-1α suppressed IDH1-R132H-induced effect on GBM. Reactive oxygen species (ROS) level was increased by IDH1-R132H over expression and the use of antioxidant inhibited IDH1-R132H-induced increase of HIF-1α expression. FAT Atypical Cadherin 1 (FAT1) expression was increased by IDH1-R132H over expression. Knockdown of FAT1 blocked IDH1-R132H-induced reduction of tumor growth in xenograft mice. Down regulation of FAT1 decreased HIF-1α expression and inhibited IDH1-R132H-induced increase of ROS level.Our findings provide new insights into IDH1-R132H-regulated downstream signaling in GBM and highlight the importance of IDH1-R132H-FAT1-ROS-HIF-1α signaling pathway in potential therapeutic intervention of GBM.

The pancreatic islet contains multiple hormone+ endocrine lineages (α, β, δ, PP and e cells), but the developmental processes that underlie endocrinogenesis are poorly understood. Here, we generated novel mouse lines and combined them with various genetic tools to enrich all types of hormone+ cells for well-based deep single-cell RNA sequencing (scRNA-seq), and gene coexpression networks were extracted from the generated data for the optimization of high-throughput droplet-based scRNA-seq analyses. These analyses defined an entire endocrinogenesis pathway in which different states of endocrine progenitor (EP) cells sequentially differentiate into specific endocrine lineages in mice. Subpopulations of the EP cells at the final stage (EP4early and EP4late) show different potentials for distinct endocrine lineages. e cells and an intermediate cell population were identified as distinct progenitors that independently generate both α and PP cells. Single-cell analyses were also performed to delineate the human pancreatic endocrinogenesis process. Although the developmental trajectory of pancreatic lineages is generally conserved between humans and mice, clear interspecies differences, including differences in the proportions of cell types and the regulatory networks associated with the differentiation of specific lineages, have been detected. Our findings support a model in which sequential transient progenitor cell states determine the differentiation of multiple cell lineages and provide a blueprint for directing the generation of pancreatic islets in vitro.

Defining the precise regionalization of specified definitive endoderm progenitors is critical for understanding the mechanisms underlying the generation and regeneration of respiratory and digestive organs, yet the patterning of endoderm progenitors remains unresolved, particularly in humans. We performed single-cell RNA sequencing on endoderm cells during the early somitogenesis stages in mice and humans. We developed molecular criteria to define four major endoderm regions (foregut, lip of anterior intestinal portal, midgut, and hindgut) and their developmental pathways. We identified the cell subpopulations in each region and their spatial distributions and characterized key molecular features along the body axes. Dorsal and ventral pancreatic progenitors appear to originate from the midgut population and follow distinct pathways to develop into an identical cell type. Finally, we described the generally conserved endoderm patterning in humans and clear differences in dorsal cell distribution between species. Our study comprehensively defines single-cell endoderm patterning and provides novel insights into the spatiotemporal process that drives establishment of early endoderm domains.

The generation of terminally differentiated cell lineages during organogenesis requires multiple, coordinated cell fate choice steps. However, this process has not been clearly delineated, especially in complex solid organs such as the pancreas. Here, we performed single‐cell RNA‐sequencing in pancreatic cells sorted from multiple genetically modified reporter mouse strains at embryonic stages E9.5–E17.5. We deciphered the developmental trajectories and regulatory strategies of the exocrine and endocrine pancreatic lineages as well as intermediate progenitor populations along the developmental pathways. Notably, we discovered previously undefined programs representing the earliest events in islet α‐ and β‐cell lineage allocation as well as the developmental pathway of the “first wave” of α‐cell generation. Furthermore, we demonstrated that repressing ERK pathway activity is essential for inducing both α‐ and β‐lineage differentiation. This study provides key insights into the regulatory mechanisms underlying cell fate choice and stepwise cell fate commitment and can be used as a resource to guide the induction of functional islet lineage cells from stem cells in vitro .

Pancreatic endocrine cells, which are clustered in islets, regulate blood glucose stability and energy metabolism. The distinct cell types in islets, including insulin-secreting β cells, are differentiated from common endocrine progenitors during the embryonic stage. Immature endocrine cells expand via cell proliferation and mature during a long postnatal developmental period. However, the mechanisms underlying these processes are not clearly defined. Single-cell RNA-sequencing is a promising approach for the characterization of distinct cell populations and tracing cell lineage differentiation pathways. Here, we describe a method for the single-cell RNA-sequencing of isolated pancreatic β cells from embryonic, neonatal and postnatal pancreases.

Objectives The streptozotocin (STZ) model is widely used in diabetes research. However, the cellular and molecular states of pancreatic endocrine cells in this model remain unclear. This study explored the molecular characteristics of islet cells treated with STZ and re-evaluated β-cell dysfunction and regeneration in the STZ model. Methods We performed single-cell RNA sequencing of pancreatic endocrine cells from STZ-treated mice. High-quality sequencing data from 2,999 cells were used to identify clusters via Louvain clustering analysis. Principal component analysis (PCA), t-distributed stochastic neighbor embedding (t-SNE), uniform manifold approximation and projection (UMAP), force-directed layout (FDL), and differential expression analysis were used to define the heterogeneity and transcriptomic changes in islet cells. In addition, qPCR and immunofluorescence staining were used to confirm findings from the sequencing data. Results Untreated β-cells were divided into two populations at the transcriptomic level, a large high-Glut2 expression (Glut2high) population and a small low-Glut2 expression (Glut2low) population. At the transcriptomic level, Glut2low β-cells in adult mice did not represent a developmentally immature state, although a fraction of genes associated with β-cell maturation and function were downregulated in Glut2low cells. After a single high-dose STZ treatment, most Glut2high cells were killed, but Glut2low cells survived and over time changed to a distinct cell state. We did not observe conversion of Glut2low to Glut2high β-cells up to 9 months after STZ treatment. In addition, we did not detect transcriptomic changes in the non-β endocrine cells or a direct trans-differentiation pathway from the α-cell lineage to the β-cell lineage in the STZ model. Conclusions We identified the heterogeneity of β-cells in both physiological and pathological conditions. However, we did not observe conversion of Glut2low to Glut2high β-cells, transcriptomic changes in the non-β endocrine cells, or direct trans-differentiation from the α-cell lineage to the β-cell lineage in the STZ model. Our results clearly define the states of islet cells treated with STZ and allow us to re-evaluate the STZ model widely used in diabetes studies., Highlight • β-cells show heterogeneity in both physiological and pathological conditions. • Glut2low β-cells survive from high dose of STZ, but over time change to a distinct cell state. • The expression profiles of non-β endocrine cells rarely change in the STZ model. • Glut2low β-cells do not represent a developmentally immature state.

The pancreas of vertebrates is separately derived from both the dorsal and ventral endodermal domains. However, the difference between these two programs has been unclear. Here, using a pancreatic determination gene, Pdx1, driven GFP transgenic mouse strain, we identified Pdx1‐GFP highly expressing cells (Pdx1(high)) and Pdx1‐GFP lowly expressing cells (Pdx1(low)) in both embryonic dorsal Pdx1‐expressing region (DPR) and ventral Pdx1‐expressing region (VPR). We analyzed the transcriptomes of single Pdx1(low) and Pdx1(high) cells from the DPR and VPR. In the VPR, Pdx1(low) cells have an intermediate progenitor identity and can generate hepatoblasts, extrahepatobiliary cells, and Pdx1(high) pancreatic progenitor cells. In the DPR, Pdx1(high) cells are directly specified as pancreatic progenitors, whereas Pdx1(low) cells are precocious endocrine cells. Therefore, our study defines distinct road maps for dorsal and ventral pancreatic progenitor specification. The findings provide guidance for optimization of current β‐cell induction protocols by following the in vivo dorsal pancreatic specification program.

Pancreatic endocrine lineages are derived from pancreatic progenitors that undergo a cell fate transition requiring a switch from low to high Ngn3 expression. However, the underlying chromatin regulatory mechanisms are unclear. Here, we performed epigenomic analysis of gene regulatory loci featuring histone marks in cells with low or high level of Ngn3 expression. In combination with transcriptomic analysis, we discovered that in Ngn3-high cells, the removal of H3K27me3 was associated with the activation of key transcription factors and the establishment of primed and active enhancers. Deletion of Jmjd3, a histone demethylase for H3K27me3, at the pancreatic progenitor stage impaired the efficiency of endocrine cell fate transition and thereafter islet formation. Curiously, single-cell RNA-seq revealed that the transcriptome and developmental pathway of Ngn3-high cells were not affected by the deletion of Jmjd3. Our study indicates sequential chromatin events and identifies a crucial role for Jmjd3 in regulating the efficiency of the transition from Ngn3-low to Ngn3-high cells.

The differentiation of hair (H) and non-hair (N) cells in the Arabidopsis thaliana root epidermis is dependent on positional relationships with underlying cortical cells. We previously found that histone acetylation relays positional information and that a mutant altered in the histone deacetylase gene family member HISTONE DEACETYLASE 18 (HDA18) exhibits altered H and N epidermal cell patterning. Here, we report that HDA18 has in vitro histone deacetylase activity and that both mutation and overexpression of HDA18 led to cells at the N position having H fate. The HDA18 protein physically interacted with histones related to a specific group of kinase genes, which are demonstrated in this study to be components of a positional information relay system. Both down- and upregulation of HDA18 increased transcription of the targeted kinase genes. Interestingly, the acetylation levels of histone 3 lysine 9 (H3K9), histone 3 lysine 14 (H3K14) and histone 3 lysine 18 (H3K18) at the kinase genes were differentially affected by down- or upregulation of HDA18, which explains why the transcription levels of the four HDA18-target kinase genes increased in all lines with altered HDA18 expression. Our results reveal the surprisingly complex mechanism by which HDA18 affects cellular patterning in Arabidopsis root epidermis.

Pancreatic β and α cells play essential roles in maintaining glucose homeostasis. However, the mechanisms by which these distinct cell populations are generated, expand, and mature during pancreas development remain unclear. In this study, we addressed this critical question by performing a single-cell transcriptomic analysis of mouse β and α cells sorted from fetal to adult stages. We discovered that β and α cells use different regulatory strategies for their maturation and that cell proliferation peaks at different developmental times. However, the quiescent and proliferative cells in both the β lineage and α lineage are synchronous in their maturation states. The heterogeneity of juvenile β cells reflects distinct cell-cycling phases, origins, and maturation states, whereas adult β cells are relatively homogeneous at the transcriptomic level. These analyses provide not only a high-resolution roadmap for islet lineage development but also insights into the mechanisms of cellular heterogeneity, cell number expansion, and maturation of both β and α cells.

Endoderm cells undergo sequential fate choices to generate insulin-secreting beta cells. Ezh2 of the PRC2 complex, which generates H3K27me3, modulates the transition from endoderm to pancreas progenitors, but the role of Ezh2 and H3K27me3 in the next transition to endocrine progenitors is unknown. We isolated endoderm cells, pancreas progenitors, and endocrine progenitors from different staged mouse embryos and analyzed H3K27me3 genome-wide. Unlike the decline in H3K27me3 domains reported during embryonic stem cell differentiation in vitro, we find that H3K27me3 domains increase in number during endocrine progenitor development in vivo. Genes that lose the H3K27me3 mark typically encode transcriptional regulators, including those for pro-endocrine fates, whereas genes that acquire the mark typically are involved in cell biology and morphogenesis. Deletion of Ezh2 at the pancreas progenitor stage enhanced the production of endocrine progenitors and beta cells. Inhibition of EZH2 in embryonic pancreas explants and in human embryonic stem cell cultures increased endocrine progenitors in vitro. Our studies reveal distinct dynamics in H3K27me3 targets in vivo and a means to modulate beta cell development from stem cells.

To study the clinical efficiency, electroencephalogram (EEG) changes and cognitive improvements of ketogenic diet (KD) in children with refractory epilepsy.Twenty pediatric patients (7-61 months in age) with refractory epilepsy were recruited between August 2012 and August 2013. KD therapy was performed on all participants for at least 3 months based on a fasting initiation protocol with the lipid-to-nonlipid ratio being gradually increased to 4 : 1. Seizure frequency, type and degree were recorded before and during KD therapy. A 24 hours video-electroencephalogram (V-EEG) examination and Gesell Developmental Scale assessment were performed prior to KD therapy, and 3, 6, 9 months after KD therapy.Six patients became seizure free after KD therapy, with a complete control rate of 30%. Seizure frequency reduction occurred in 13 (65%) patients, EEG improvement in 8 (40%) patients, and improvement in Gesell Developmental Scales (gross motor and adaptability in particular) in 6 (30%) patients. The KD therapy-related side effects were mild.KD therapy is safety and effective in reducing seizure frequency and improving EEG and cognitive function in children with refractory epilepsy.

To study the clinical features of non-epileptic seizures associated with cerebral palsy (CP) in children.A total of 1 198 children with CP (age: 9 months to 6 years) were enrolled. The children with paroxysmal events were monitored by 24 hrs video-EEG (VEEG) to make sure the seizures were epileptic or non-epileptic. The symptoms, age, CP types and EEG features were observed in children with non-epileptic CP.Five hundred and seventy-eight children (48.24%) presented paroxysmal events. The seizures were epileptic in 231 children (19.28%) and non-epileptic in 322 cases (26.88%). In the 322 cases of non-epileptic CP, the paroxysmal events were of various kinds, including non-epileptic seizure tonic, seizure shake head, shrug shoulder or head hypsokinesis, cry or scream, panic attacks, sleep myoclonic and stereotyped movement. One hundred and fifty-eight (49.1%) out of the 322 children demonstrated nonspecific EEG abnormalities. One hundred and eleven children (34.5%) were misdiagnosed as epilepsy in primary hospitals. The CP children less than one year old showed higher frequency of non-epileptic seizures than the age groups over 1 year and 3 to 6 years. The frequency of non-epileptic seizures was the highest in children with spastic CP (168 cases, 52.2%), followed by dyskinetic CP (69 cases, 21.4%) and mixed type CP (65 cases, 20.2%).The paroxysmal events in children with CP partially are non-epileptic seizures and it is important to differentiate non-epileptic from epileptic seizures. The frequencies of non-epileptic seizures may be associated with a child's age and CP type.