Bone marrow mesenchymal stem cells (BMSCs), the important component and regulator of bone marrow microenvironment, give rise to hematopoietic-supporting stromal cells and form hematopoietic niches for hematopoietic stem cells (HSCs). However, how BMSC differentiation affects hematopoiesis is poorly understood. In this review, we focus on the role of BMSC differentiation in hematopoiesis. We discussed the role of BMSCs and their progeny in hematopoiesis. We also examine the mechanisms that cause differentiation bias of BMSCs in stress conditions including aging, irradiation, and chemotherapy. Moreover, the differentiation balance of BMSCs is crucial to hematopoiesis. We highlight the negative effects of differentiation bias of BMSCs on hematopoietic recovery after bone marrow transplantation. Keeping the differentiation balance of BMSCs is critical for hematopoietic recovery. This review summarises current understanding about how BMSC differentiation affects hematopoiesis and its potential application in improving hematopoietic recovery after bone marrow transplantation.

Heart disorders are a major health concern worldwide responsible for millions of deaths every year. Among the many disorders of the heart, myocardial infarction, which can lead to the development of congestive heart failure, arrhythmias, or even death, has the most severe social and economic ramifications. Lack of sufficient available donor hearts for heart transplantation, the only currently viable treatment for heart failure other than medical management options (ACE inhibition, beta blockade, use of AICDs, etc.) that improve the survival of patients with heart failure emphasises the need for alternative therapies. One promising alternative replaces cardiac muscle damaged by myocardial infarction with new contractile cardiomyocytes and vessels obtained through stem cell-based regeneration. We report on the state of the art of recovery of cardiac functions by using stem cell engineering. Current research focuses on (a) inducing stem cells into becoming cardiac cells before or after injection into a host, (b) growing replacement heart tissue in vitro, and (c) stimulating the proliferation of the post-mitotic cardiomyocytes in situ. The most promising treatment option for patients is the engineering of new heart tissue that can be implanted into damaged areas. Engineering of cardiac tissue currently employs the use of co-culture of stem cells with scaffold microenvironments engineered to improve tissue survival and enhance differentiation. Growth of heart tissue in vitro using scaffolds, soluble collagen, and cell sheets has unique advantages. To compensate for the loss of ventricular mass and contractility of the injured cardiomyocytes, different stem cell populations have been extensively studied as potential sources of new cells to ameliorate the injured myocardium and eventually restore cardiac function. Unresolved issues including insufficient cell generation survival, growth, and differentiation have led to mixed results in preclinical and clinical studies. Addressing these limitations should ensure the successful production of replacement heart tissue to benefit cardiac patients.

Many recent research studies have proposed stem cell therapy as a treatment for cancer, spinal cord injuries, brain damage, cardiovascular disease, and other conditions. Some of these experimental therapies have been tested in small animals and, in rare cases, in humans. Medical researchers anticipate extensive clinical applications of stem cell therapy in the future. The lack of basic knowledge concerning basic stem cell biology-survival, migration, differentiation, integration in a real time manner when transplanted into damaged CNS remains an absolute bottleneck for attempt to design stem cell therapies for CNS diseases. A major challenge to the development of clinical applied stem cell therapy in medical practice remains the lack of efficient stem cell tracking methods. As a result, the fate of the vast majority of stem cells transplanted in the human central nervous system (CNS), particularly in the detrimental effects, remains unknown. The paucity of knowledge concerning basic stem cell biology—survival, migration, differentiation, integration in real-time when transplanted into damaged CNS remains a bottleneck in the attempt to design stem cell therapies for CNS diseases. Even though excellent histological techniques remain as the gold standard, no good in vivo techniques are currently available to assess the transplanted graft for migration, differentiation, or survival. To address these issues, herein we propose strategies to investigate the lineage fate determination of derived human embryonic stem cells (hESC) transplanted in vivo into the CNS. Here, we describe a comprehensive biological Global Positioning System (bGPS) to track transplanted stem cells. But, first, we review, four currently used standard methods for tracking stem cells in vivo: magnetic resonance imaging (MRI), bioluminescence imaging (BLI), positron emission tomography (PET) imaging and fluorescence imaging (FLI) with quantum dots. We summarize these modalities and propose criteria that can be employed to rank the practical usefulness for specific applications. Based on the results of this review, we argue that additional qualities are still needed to advance these modalities toward clinical applications. We then discuss an ideal procedure for labeling and tracking stem cells in vivo, finally, we present a novel imaging system based on our experiments.

The US National Cancer Institute (NCI) and the National Human Genome Research Institute (NHGRI) created the Cancer Genome Atlas (TCGA) Project in 2006. The TCGA’s goal was to sequence the genomes of 10,000 tumors to identify common genetic changes among different types of tumors for developing genetic-based treatments. TCGA offered great potential for cancer patients, but in reality has little impact on clinical applications. Recent reports place the past TCGA approach of testing a small tumor mass at a single time-point at a crossroads. This crossroads presents us with the conundrum of whether we should sequence more tumors or obtain multiple biopsies from each individual tumor at different time points. Sequencing more tumors with the past TCGA approach of single time-point sampling can neither capture the heterogeneity between different parts of the same tumor nor catch the heterogeneity that occurs as a function of time, error rates, and random drift. Obtaining multiple biopsies from each individual tumor presents multiple logistical and financial challenges. Here, we review current literature and rethink the utility and application of the TCGA approach. We discuss that the TCGA-led catalogue may provide insights into studying the functional significance of oncogenic genes in reference to non-cancer genetic background. Different methods to enhance identifying cancer targets, such as single cell technology, real time imaging of cancer cells with a biological global positioning system, and cross-referencing big data sets, are offered as ways to address sampling discrepancies in the face of tumor heterogeneity. We predict that TCGA landmarks may prove far more useful for cancer prevention than for cancer diagnosis and treatment when considering the effect of non-cancer genes and the normal genetic background on tumor microenvironment. Cancer prevention can be better realized once we understand how therapy affects the genetic makeup of cancer over time in a clinical setting. This may help create novel therapies for gene mutations that arise during a tumor’s evolution from the selection pressure of treatment.

In contrast to hematological malignancies, meaningful improvements in survival statistics for patients with malignant brain tumors have not been realized in >40 years of clinical research. Clearly, a new medical approach to brain cancers is needed. Recent research has led to a new concept that needs to destroy all cancer subclones to control the cancer progression. However, this new concept fails to distinguish the difference between dominating subclones and dormant subclones. Here, we address the issue of clonal switch and emphasize that there may be one or more than one dominant clones within the tumor mass at any time. Destructing one dominant clone triggers activating other dormant subclones to become dominating subclones, causing cancer progress and post-treatment cancer recurrence. We postulate the concept of subclonal switchboard signaling and the pathway that involved in this process. In the context of stem cell and development, there is a parallel with the concept of quiescent/dormant cancer stem cells (CSC) and their progeny, the differentiated cancer cells; these 2 populations communicate and co-exist. The mechanism with which determines to extend self-renewal and expansion of CSC is needed to elucidate. We suggest eliminating the "dominating subclonal switchboard signals" that shift the dormant subclones to dominating subclones as a new strategy.

Infectious spleen and kidney necrosis virus (ISKNV) is the type species of the genus Megalocytivirus from the family Iridoviridae.ISKNV is one of the major agents that cause mortality and economic losses to the freshwater fish culture industry in Asian countries, particularly for mandarin fish (Siniperca chuatsi). In the present study, we report that the interaction of mandarin fish caveolin 1 (mCav-1) with the ISKNV major capsid protein (MCP) was detected by using a virus overlay assay and confirmed by pulldown assay and coimmunoprecipitation. This interaction was independent of the classic caveolin 1 scaffolding domain (CSD), which is responsible for interacting with several signaling proteins and receptors. Confocal immunofluorescence microscopy showed that ISKNV MCP colocalized with mCav-1 in the perinuclear region of virus-infected mandarin fish fry (MFF-1) cells, which appeared as soon as 4 h postinfection. Subcellular fractionation analysis showed that ISKNV MCP was associated with caveolae in the early stages of viral infection. RNA interference silencing of mCav-1 did not change virus-cell binding but efficiently inhibited the entry of virions into the cell. Taken together, these results suggested that mCav-1 plays an important role in the early stages of ISKNV infection. I ridoviruses, with large, icosahedral, and double-stranded DNA (dsDNA), can infect both invertebrates (particularly insects), and poikilothermic vertebrates (fish, amphibians, and reptiles), leading to systematic diseases (1). To date, more than 100 iridovirus strains have been isolated, and the entire genomes of 20 strains have been completely sequenced. The Iridoviridae family is composed of five genera, namely, Iridovirus, Chloriridovirus, Ranavirus, Lymphocystivirus, and Megalocytivirus, according to viral particle size, host range, DNA cross-hybridization, the presence of a methyltransferase, and the major capsid protein (MCP) sequence (1, 2). Infectious spleen and kidney necrosis virus (ISKNV) is the type species of the genus Megalocytivirus (2, 3). The ISKNV genome is 111,362 bp in length, consisting of 124 potential open reading frames (ORFs) with encoding capacities ranging from 40 to 1,208 amino acids (aa) (3). Proteomic analysis of ISKNV shows that 38 viral structural proteins are present in ISKNV virions (4). Fifteen highly abundant ISKNV structural proteins were identified. ISKNV MCP is the main structural component of the virus particle, comprising 40% to 45% of the total particle polypeptide (4, 5). ISKNV is one of the fatally infectious agents rendering tremendous economic losses in Chinese mandarin fish cultures (3). Control of ISKNV infection is desperately needed. A better understanding of the ISKNV infection process is the first step toward viral control and prevention.An increasing number of studies have shown that lipid rafts, liquid-ordered, plasma membrane microdomains, also known as detergent-resistant membranes (DRMs) or caveolae, are involved in virus internalization (6), in addition to signal transduction (...

Brain tumors are now the leading cause of cancer-related deaths in children under age 15. Malignant gliomas are, for all practical purposes, incurable and new therapeutic approaches are desperately needed. One emerging strategy is to use the tumor tracking capacity inherent in many stem cell populations to deliver therapeutic agents to the brain cancer cells. Current limitations of the stem cell therapy strategy include that stem cells are treated as a single entity and lack of uniform technology is adopted for selection of clinically relevant sub-populations of stem cells. Specifically, therapeutic success relies on the selection of a clinically competent stem cell population based on their capacity of targeting brain tumors. A novel and generalizable organotypic slice platform to evaluate stem cell potential for targeting pediatric brain tumors is proposed to fill the gap in the current work flow of stem cell-based therapy. The organotypic slice platform has advantages of being mimic in vivo model, easier to manipulate to optimize parameters than in vivo models such as rodents and primates. This model serves as a framework to address the discrepancy between anticipated in vivo results and actual in vivo results, a critical barrier to timely progress in the field of the use of stem cells for the treatment of neurological disorders.

Glioblastoma multiforme (GBM) remains an incurable brain tumor. The highly malignant behavior of GBM may, in part, be attributed to its intraclonal genetic and phenotypic diversity (subclonal evolution). Identifying the molecular pathways driving GBM relapse may provide novel, actionable targets for personalized diagnosis, characterization of prognosis and improvement of precision therapy. We screened single-cell transcriptomes, namely RNA-seq data of primary and relapsed GBM tumors from a patient, to define the molecular profile of relapse. Characterization of hundreds of individual tumor cells identified three mutated genes within single cells, involved in the RAS/GEF GTP-dependent signaling pathway. The identified molecular pathway was further verified by meta-analysis of RNA-seq data from more than 3000 patients. This study showed that single-cell molecular analysis overcomes the inherent heterogeneity of bulk tumors with respect to defining tumor subclonal evolution relevant to GBM relapse.