Deriving Schwann cells from hPSCs enables disease modeling and drug discovery for diabetic peripheral neuropathy.

Schwann cells (SCs) are the primary glia of the peripheral nervous system. SCs are involved in many debilitating disorders, including diabetic peripheral neuropathy (DPN). Here, we present a strategy for deriving SCs from human pluripotent stem cells (hPSCs) that enables comprehensive studies of SC development, physiology, and disease. hPSC-derived SCs recapitulate the molecular features of primary SCs and are capable of in vitro and in vivo myelination. We established a model of DPN that revealed the selective vulnerability of SCs to high glucose. We performed a high-throughput screen and found that an antidepressant drug, bupropion, counteracts glucotoxicity in SCs. Treatment of hyperglycemic mice with bupropion prevents their sensory dysfunction, SC death, and myelin damage. Further, our retrospective analysis of health records revealed that bupropion treatment is associated with a lower incidence of neuropathy among diabetic patients. These results highlight the power of this approach for identifying therapeutic candidates for DPN.

Generation of Schwann cell derived melanocytes from hPSCs identifies pro-metastatic factors in melanoma.

The neural crest (NC) is highly multipotent and generates diverse lineages in the developing embryo. However, spatiotemporally distinct NC populations display differences in fate potential, such as increased gliogenic and parasympathetic potential from later migrating, nerve-associated Schwann cell precursors (SCPs). Interestingly, while melanogenic potential is shared by both early migrating NC and SCPs, differences in melanocyte identity resulting from differentiation through these temporally distinct progenitors have not been determined. Here, we leverage a human pluripotent stem cell (hPSC) model of NC temporal patterning to comprehensively characterize human NC heterogeneity, fate bias, and lineage development. We captured the transition of NC differentiation between temporally and transcriptionally distinct melanogenic progenitors and identified modules of candidate transcription factor and signaling activity associated with this transition. For the first time, we established a protocol for the directed differentiation of melanocytes from hPSCs through a SCP intermediate, termed trajectory 2 (T2) melanocytes. Leveraging an existing protocol for differentiating early NC-derived melanocytes, termed trajectory 1 (T1), we performed the first comprehensive comparison of transcriptional and functional differences between these distinct melanocyte populations, revealing differences in pigmentation and unique expression of transcription factors, ligands, receptors and surface markers. We found a significant link between the T2 melanocyte transcriptional signature and decreased survival in melanoma patients in the cancer genome atlas (TCGA). We performed an in vivo CRISPRi screen of T1 and T2 melanocyte signature genes in a human melanoma cell line and discovered several T2-specific markers that promote lung metastasis in mice. We further demonstrated that one of these factors, SNRPB, regulates the splicing of transcripts involved in metastasis relevant functions such as migration, cell adhesion and proliferation. Overall, this study identifies distinct developmental trajectories as a source of diversity in melanocytes and implicates the unique molecular signature of SCP-derived melanocytes in metastatic melanoma.

Stem Cell-Based Models for Studying the Effects of Cancer and Cancer Therapies on the Peripheral Nervous System.

In recent years, the complexity of cancer and cancer therapies and their interactions with the peripheral nervous system have come into focus, but limitations in experimental models have remained a significant challenge in the field. As evidence, there are currently no therapies approved that target cancer-peripheral nervous system or cancer therapy-peripheral nervous system interactions as an anti-neoplastic or anti-neurotoxic agent, respectively. Human pluripotent stem cells offer an appealing model system that, unlike rodent models, is compatible with high throughput, high content applications; techniques that reflect modern drug discovery methodologies. Thus, utilizing the key advantages of stem cell-based models in tandem with the strengths of traditional animal models offers a complementary and interdisciplinary strategy to advance cancer and cancer therapy-peripheral nervous system research and drug discovery. In this review, the current status of the cancer-peripheral nervous system and cancer therapy-peripheral nervous system research is discussed, examples where stem cell-based models have been implemented are described, and avenues where stem cell-based models may further advance the field are proposed.

5-Fluorouracil: A Narrative Review on the Role of Regulatory Mechanisms in Driving Resistance to This Chemotherapeutic Agent.

5-fluorouracil (5-FU) is among the mostly administrated chemotherapeutic agents for a wide variety of neoplasms. Non-coding RNAs have a central impact on the determination of the response of patients to 5-FU. These transcripts via modulation of cancer-related pathways, cell apoptosis, autophagy, epithelial-mesenchymal transition, and other aspects of cell behavior can affect cell response to 5-FU. Modulation of expression levels of microRNAs or long non-coding RNAs may be a suitable approach to sensitize tumor cells to 5-FU treatment via modulating multiple biological signaling pathways such as Hippo/YAP, Wnt/ß-catenin, Hedgehog, NF-kB, and Notch cascades. Moreover, there is an increasing interest in targeting these transcripts in various kinds of cancers that are treated by 5-FU. In the present article, we provide a review of the function of non-coding transcripts in the modulation of response of neoplastic cells to 5-FU.

The interaction between miRNAs/lncRNAs and nuclear factor-κB (NF-κB) in human disorders.

Nuclear factor-κB (NF-κB) represents a group of inducible transcription factors (TFs) regulating the expression of a great variety of genes implicated in diverse processes, particularly modulation of immune system responses. This TF has functional interactions with non-coding RNAs, constructing a complicated network through which NF-κB, miRNAs, and lncRNAs coordinately regulate gene expression at different facets. This type of interaction is involved in the pathophysiology of several human disorders including both neoplastic disorders and non-neoplastic conditions. MALAT1 and NKILA are among lncRNAs whose interactions with NF-κB have been vastly assessed in different conditions including cancer and inflammatory conditions. In addition, miR-146a/b has functional interactions with this TF in different contexts. Although miRNAs have mutual interactions with NF-κB, the regulatory role of miRNAs on this TF has been more clarified. The aim of the current review is to explore the function of NF-κB-related miRNAs and lncRNAs in these two types of human disorders.

Surface Proteomics Reveals CD72 as a Target for In Vitro-Evolved Nanobody-Based CAR-T Cells in KMT2A/MLL1-Rearranged B-ALL.

Alternative strategies are needed for patients with B-cell malignancy relapsing after CD19-targeted immunotherapy. Here, cell surface proteomics revealed CD72 as an optimal target for poor-prognosis KMT2A/MLL1-rearranged (MLLr) B-cell acute lymphoblastic leukemia (B-ALL), which we further found to be expressed in other B-cell malignancies. Using a recently described, fully in vitro system, we selected synthetic CD72-specific nanobodies, incorporated them into chimeric antigen receptors (CAR), and demonstrated robust activity against B-cell malignancy models, including CD19 loss. Taking advantage of the role of CD72 in inhibiting B-cell receptor signaling, we found that SHIP1 inhibition increased CD72 surface density. We establish that CD72-nanobody CAR-T cells are a promising therapy for MLLr B-ALL. SIGNIFICANCE: Patients with MLLr B-ALL have poor prognoses despite recent immunotherapy advances. Here, surface proteomics identifies CD72 as being enriched on MLLr B-ALL but also widely expressed across B-cell cancers. We show that a recently described, fully in vitro nanobody platform generates binders highly active in CAR-T cells and demonstrate its broad applicability for immunotherapy development.This article is highlighted in the In This Issue feature, p. 1861.

Human Induced Pluripotent Stem Cell Derived Sensory Neurons are Sensitive to the Neurotoxic Effects of Paclitaxel.

Chemotherapy-induced peripheral neuropathy (CIPN) is a dose-limiting adverse event associated with treatment with paclitaxel and other chemotherapeutic agents. The prevention and treatment of CIPN are limited by a lack of understanding of the molecular mechanisms underlying this toxicity. In the current study, a human induced pluripotent stem cell-derived sensory neuron (iPSC-SN) model was developed for the study of chemotherapy-induced neurotoxicity. The iPSC-SNs express proteins characteristic of nociceptor, mechanoreceptor, and proprioceptor sensory neurons and show Ca2+ influx in response to capsaicin, α,ß-meATP, and glutamate. The iPSC-SNs are relatively resistant to the cytotoxic effects of paclitaxel, with half-maximal inhibitory concentration (IC50 ) values of 38.1 µM (95% confidence interval (CI) 22.9-70.9 µM) for 48-hour exposure and 9.3 µM (95% CI 5.7-16.5 µM) for 72-hour treatment. Paclitaxel causes dose-dependent and time-dependent changes in neurite network complexity detected by ßIII-tubulin staining and high content imaging. The IC50 for paclitaxel reduction of neurite area was 1.4 µM (95% CI 0.3-16.9 µM) for 48-hour exposure and 0.6 µM (95% CI 0.09-9.9 µM) for 72-hour exposure. Decreased mitochondrial membrane potential, slower movement of mitochondria down the neurites, and changes in glutamate-induced neuronal excitability were also observed with paclitaxel exposure. The iPSC-SNs were also sensitive to docetaxel, vincristine, and bortezomib. Collectively, these data support the use of iPSC-SNs for detailed mechanistic investigations of genes and pathways implicated in chemotherapy-induced neurotoxicity and the identification of novel therapeutic approaches for its prevention and treatment.

Roadmap for the Emerging Field of Cancer Neuroscience.

Mounting evidence indicates that the nervous system plays a central role in cancer pathogenesis. In turn, cancers and cancer therapies can alter nervous system form and function. This Commentary seeks to describe the burgeoning field of "cancer neuroscience" and encourage multidisciplinary collaboration for the study of cancer-nervous system interactions.

Prospective Isolation of ISL1+ Cardiac Progenitors from Human ESCs for Myocardial Infarction Therapy.

The LIM-homeodomain transcription factor ISL1 marks multipotent cardiac progenitors that give rise to cardiac muscle, endothelium, and smooth muscle cells. ISL1+ progenitors can be derived from human pluripotent stem cells, but the inability to efficiently isolate pure populations has limited their characterization. Using a genetic selection strategy, we were able to highly enrich ISL1+ cells derived from human embryonic stem cells. Comparative quantitative proteomic analysis of enriched ISL1+ cells identified ALCAM (CD166) as a surface marker that enabled the isolation of ISL1+ progenitor cells. ALCAM+/ISL1+ progenitors are multipotent and differentiate into cardiomyocytes, endothelial cells, and smooth muscle cells. Transplantation of ALCAM+ progenitors enhances tissue recovery, restores cardiac function, and improves angiogenesis through activation of AKT-MAPK signaling in a rat model of myocardial infarction, based on cardiac MRI and histology. Our study establishes an efficient method for scalable purification of human ISL1+ cardiac precursor cells for therapeutic applications.

Isolation and characterization of cardiogenic, stem-like cardiac precursors from heart samples of patients with congenital heart disease.

AIMS: Regenerative therapies based on resident human cardiac progenitor cells (hCPCs) are a promising alternative to medical treatments for patients with myocardial infarction. However, hCPCs are rare in human heart and finding efficient source and proper surface marker for isolation of these cells would make them a good candidate for therapy. MAIN METHODS: We have isolated 5.34∗10(6)±2.04∗10(5)/g viable cells from 35 heart tissue samples of 23 patients with congenital heart disease obtained during their heart surgery along with 6 samples from 3 normal subjects during cardiac biopsy. KEY FINDINGS: According to FACS analysis, younger ages, atrial specimen and disease with increased pulmonary vascular resistance were associated with higher percentage of c-kit(+) (CD117) hCPCs. Analysis for other stemness markers revealed increased CD133(+) cells in the hearts of patients with congenital heart disease. By using both immune-labeling and PCR, we demonstrated that these cells express key cardiac lineage and endothelial transcription factors and structural proteins during in vitro differentiation and do express stemness transcription factors in undifferentiated state. Another novel datum of potentially relevant interest is their ability in promoting greater myocardial regeneration and better survival in rat model of myocardial infarction following transplantation. SIGNIFICANCE: Our results could provide evidence for conditions associated with enriched hCPCs in patients with congenital heart disease. Moreover, we showed presence of a significant number of CD133 expressing cardiogenic stem-like cardiac precursors in the heart of patients with congenital heart disease, which could be isolated and stored for future regenerative therapies in these patients.

Disease-corrected hepatocyte-like cells from familial hypercholesterolemia-induced pluripotent stem cells.

The generation of human induced pluripotent stem cells (hiPSCs) from an individual patient provides a unique tool for disease modeling, drug discovery, and cell replacement therapies. Patient-specific pluripotent stem cells can be expanded in vitro and are thus suitable for genetic manipulations. To date, several genetic liver disorders have been modeled using patient-specific hiPSCs. Here, we present the generation of corrected hepatocyte-like cells (HLCs) from hiPSCs of a familial hypercholesterolemia (FH) patient with a homozygous mutation in the low-density lipoprotein receptor (LDLR) gene. We generated hiPSCs from a patient with FH with the mutated gene encoding a truncated non-functional receptor. In order to deliver normal LDLR to the defective cells, we used a plasmid vector carrying the normal receptor ORF to genetically transform the hiPSCs. The transformed cells were expanded and directed toward HLCs. Undifferentiated defective hiPSCs and HLCs differentiated from the defective hiPSCs did not have the ability to uptake labeled low-density lipoprotein (LDL) particles. The differentiated transformed hiPSCs showed LDL-uptake ability and the correction of disease phenotype as well as expressions of hepatocyte-specific markers. The functionality of differentiated cells was also confirmed by indo-cyanine green (ICG) uptake assay, PAS staining, inducible cyp450 activity, and oil red staining. These data suggest that hiPSC technology can be used for generation of disease-corrected, patient-specific HLCs with potential value for disease modeling and drug discovery as well as cell therapy applications in future.

Comprehensive gene expression analysis of human embryonic stem cells during differentiation into neural cells.

Global gene expression analysis of human embryonic stem cells (hESCs) that differentiate into neural cells would help to further define the molecular mechanisms involved in neurogenesis in humans. We performed a comprehensive transcripteome analysis of hESC differentiation at three different stages: early neural differentiation, neural ectoderm, and differentiated neurons. We identified and validated time-dependent gene expression patterns and showed that the gene expression patterns reflect early ESC differentiation. Sets of genes are induced in primary ectodermal lineages and then in differentiated neurons, constituting consecutive waves of known and novel genes. Pathway analysis revealed dynamic expression patterns of members of several signaling pathways, including NOTCH, mTOR and Toll like receptors (TLR), during neural differentiation. An interaction network analysis revealed that the TGFß family of genes, including LEFTY1, ID1 and ID2, are possible key players in the proliferation and maintenance of neural ectoderm. Collectively, these results enhance our understanding of the molecular dynamics underlying neural commitment and differentiation.