Academic literature on the topic 'Self-renewal of stem cells'

Pluripotent stem cells (PSCs) lie at the heart of modern regenerative medicine due to their properties of unlimited self-renewal in vitro and their ability to differentiate into cell types representative of the three embryonic germ layers—mesoderm, ectoderm and endoderm. The derivation of induced PSCs bypasses ethical concerns associated with the use of human embryonic stem cells and also enables personalized cell-based therapies. To exploit their regenerative potential, it is essential to have a firm understanding of the molecular processes associated with their induction from somatic cells. This understanding serves two purposes: first, to enable efficient, reliable and cost-effective production of excellent quality induced PSCs and, second, to enable the derivation of safe, good manufacturing practice-grade transplantable donor cells. Here, we review the reprogramming process of somatic cells into induced PSCs and associated mechanisms with emphasis on self-renewal, epigenetic control, mitochondrial bioenergetics, sub-states of pluripotency, naive ground state, naive and primed. A meta-analysis identified genes expressed exclusively in the inner cell mass and in the naive but not in the primed pluripotent state. We propose these as additional biomarkers defining naive PSCs. This article is part of the theme issue ‘Designer human tissue: coming to a lab near you’.

Stem cells have provided great hope for the treatment of a variety of human diseases. However, the molecular mechanisms underlying stem cell pluripotency, self-renewal, and differentiation remain to be unveiled. Epigenetic regulators, including histone deacetylases (HDACs), have been shown to coordinate with cell-intrinsic transcription factors and various signaling pathways to regulate stem cell pluripotency, self-renewal, and fate determination. This paper focuses on the role of HDACs in the proliferation and neuronal differentiation of neural stem cells and the application of HDAC inhibitors in reprogramming somatic cells to induced pluripotent stem cells (iPSCs). It promises to be an active area of future research.

Thesis (Ph. D.)--University of Oregon, 2008.
Typescript. Includes vita and abstract. Includes bibliographical references (leaves 82-93). Also available online in Scholars' Bank; and in ProQuest, free to University of Oregon users.

xi, 93 p. ; ill. (some col.) A print copy of this thesis is available through the UO Libraries. Search the library catalog for the location and call number.
The atypical protein kinase C (aPKC) protein has been implicated in several human tumors yet very little is known about how aPKC is regulated. One mechanism that has been proposed as the possible source of several types of tumor is the defective asymmetric cell division of a small number of tumor stem cells. aPKC is required for cell polarization from nematodes to mammals, in tissues as diverse as epithelia, embryonic blastomeres, and neural progenitors. In Drosophila central nervous system, mitotic neural stem cells, termed neuroblasts, recruit the polarity proteins aPKC at the cell apical cortex. pack restricts the localization of the differentiation factors Miranda, Prospero, Brat, and Numb to the cell's basal cortex. Later during mitosis, the cytokinetic furrow sets unevenly about the neuroblast apical-basal axis to produce a large cell (neuroblast) which will continue to divide and self-renew, while the smaller ganglion mother cell inherits differentiation factors and terminally divides to give rise to a pair of neurons and/or glia. Asymmetric cell division is not only critical for generating cellular diversity, it also ensures that a stable population of neural stem cell is constantly maintained while allowing neurogenesis to occur. Despite its conserved role in cell polarity and tumorigenesis, relatively little is known about aPKC regulators and targets. In a co-authored work, I show that the small Rho GTPase, Cdc42, indirectly regulates aPKC. However, this stimulation is modest and the mutant phenotypes are not fully penetrant suggesting that other regulators exist. To isolate other aPKC regulators and targets, I used a biochemical approach to identify aPKC-interacting proteins, and identified one positive regulator and one negative regulator of aPKC. I show that Dynamin-associated protein-160 (Dap160; related to mammalian Intersectin) is a positive regulator of aPKC. I also show that a regulatory subunit of protein phosphatase 2A (PP2A), negatively regulates aPKC. This dissertation includes both my previously published and my co-authored material.
Adviser: Chris Doe

In preimplantation mouse embryos, signalling and gene regulatory networks cooperate to determine lineage segregation, and modulating signalling in vitro allows for stem cell populations to be established from these lineages. Fibroblast growth factor (FGF) signalling triggers the differentiation of primitive endoderm (PrE) cells fated to contribute to the yolk sac, while cells unreceptive to FGF form the epiblast (Epi) that subsequently contributes to the embryo proper. In vitro, FGF signalling is required for preimplantation Epi-derived mouse ES cells to exit self-renewal. Conversely, in human ES cells and postimplantation Epi-derived mouse epiblast stem cells, FGF signalling is instead required for pluripotency maintenance. It remains unclear how these divergent outcomes arise, especially as these cells rely on a similar core pluripotency gene network. This study demonstrates that ectopic expression of the PrE transcription factor Gata6 destabilises mouse ES cell pluripotency in vitro and upregulates PrE-associated genes independently of FGF signalling. As previous studies show that PrE specification is compromised in Fgf4-/- embryos, despite initiation of Gata6, this suggests FGF signalling and Gata6 cooperatively drive PrE specification in vivo. Characterising Gata6 function determines that it directly binds to both up- and downregulated gene targets and potently initiates reprogramming in multiple cell types, including human ES cells, suggesting it may also antagonise pluripotency in vivo. Surprisingly, FGF stimulation negatively affects establishment of the pluripotent human Epi. Characterising alternative signalling pathways in the human embryo finds that modulating IGF signalling promotes proliferation of the human ICM, and similar to human ES cells, intact TGFβ/Nodal signalling is required for pluripotent gene expression in the Epi. Consequently, as signalling requirements in the human Epi appear somewhat distinct from both the mouse Epi and existing human ES cells, modulating embryo-specific signalling pathways may permit derivation of human ES cells that more accurately reflect the pluripotent Epi compartment.

Hematopoietic stem cells (HSCs) produce all blood cell types required throughout life. They are identified by their ability to sustain the production of at least 1% of the mature white blood cells for 4 or more months, as demonstrated in limiting dilution or single-cell transplants. Recently, methods for obtaining suspensions of highly purified HSCs from mouse bone marrow have been developed. This has made possible the design of experiments to address: (i) the nature and extent of their biological heterogeneity, (ii) whether maintenance of durable in vivo reconstituting activity is regulated separately from HSC survival and proliferative activity, and (iii) whether differences in gene expression distinguish HSCs with durable as compared to finite in vivo self-renewal potential. Assessment of the different types of donor-derived blood cells produced in ~100 mice transplanted with a single HSC (or a 4-day in vitro-derived clone) allowed identification of 4 subtypes, only 2 of which could propagate continuing blood formation in secondary and even tertiary recipients. To facilitate the investigation of HSC subtypes with durable self-renewal potential (as compared to the other two subtypes with large, but finite, self-renewal potential), I devised a strategy that achieves their simultaneous, but separate, isolation from each other prior to transplantation. From time course experiments that compared the effects of altered extrinsic cytokine stimulation on different HSC activities, I showed that low Steel factor concentrations can rapidly (within 16 hours) extinguish their in vivo regenerative ability without affecting their immediate subsequent survival or mitogenesis in vitro. Finally, from comparative gene expression analyses I identified 3 genes (Vwf, Rhob, and Pld3) that are consistently expressed at higher levels in HSCs with durable self-renewal potential than in several closely related cell types with less extensive or already extinct self-renewal potential. Together, these findings provide strong support for a model of HSC regulation that includes a degree of separation in the mechanisms that control HSC self-renewal from those influencing their survival, mitogenesis, and lineage commitment probabilities. Further investigations of this model using the tools and molecules herein identified should facilitate improvements in ex vivo HSC expansion and in understanding leukemogenesis.

Muscle stem cells self-renew to maintain the long-term capacity for skeletal muscles to regenerate. However, the homeostatic regulation of muscle stem cell self-renewal is poorly understood. By utilizing high-throughput screening and transcriptomic approaches, we identify the critical function of dystrophin, the epidermal growth factor receptor (EGFR), and fibronectin in the establishment of cell polarity and in determining symmetric and asymmetric modes of muscle stem cell self-renewal. These findings reveal an orchestrated network of paracrine signaling that regulate muscle stem cell homeostasis during regeneration and have profound implications for the pathogenesis and development of therapies for Duchenne muscular dystrophy.

The relationship between cellular proliferation and differentiation is a major topic in cell biology. What we know comes from models of somatic cell differentiation, where it is widely viewed that cycling and differentiation are coupled, antagonistic phenomena linked at the G1 phase. The extension of this view to stem cells, however, is unclear. One potential possibility is that stem cells also tightly link their G1 phase with their differentiation, indicating a similarity between the differentiation of stem cells and the differentiation of more mature somatic cells. On the other hand, stem cells may utilize different mechanisms or adaptations that confer on them some aspect of uniqueness or "stemness." In this case, stem cells will not exhibit the same coupling with the cell cycle as in many somatic cell models. In this thesis, we examined mouse embryonic stem cells (mESCs), a stem cell that is pluripotent and rapidly cycling with a highly condensed G1 phase. Direct extension of the somatic view posits that elongation of their G1 phase to somatic lengths by cyclin-dependent kinase (CDK) activity inhibition should induce or increase differentiation of these stem cells. Evidence supporting this claim has been contradictory. We show that elongation of the cell cycle and elongation of G1 to somatic lengths is fully compatible with the pluripotent state of mESCs. Multiple methods that lengthen the cell cycle and that target CDK activity or that trigger putative downstream mechanisms (i.e. Rb and E2F activity) all fail to induce differentiation on their own or even to facilitate differentiation. These results indicates that the model of linkage between the G1 phase and differentiation in mESCs is incorrect and leads us to propose that "stemness" may have a physiological basis in the decoupling of cell cycling and differentiation. In summary, we provide evidence that there is a resistance of mESCs to differentiation induced by lengthening G1 and/or the cell cycle. This could allow for separate control of these events and provide new opportunities for investigation and application.

In the new edition of the Oxford Textbook of Neurorehabilitation all chapters have been updated to reflect advances in knowledge in the field of neurorehabilitation. It will be supplemented by additional chapters that reflect novel developments in the field of neurorehabilitation. During recent years there has been a strong evolution in the field of vocational rehabilitation with the aim of helping people after an injury of the nervous system to overcome the barriers and return to employment. A new chapter on self-management strategies deals with building confidence in individuals to manage the medical and emotional aspects of their condition. Furthermore, today the scientific basis for music supported therapy is a much broader to introduce it in this edition. New guidelines and consensus statements became established concerning preclinical research, biomarkers, and outcome measures, in both animal models and human beings. There are new data on attempts (e.g. using stem cells or Nogo antibodies) to restore function after spinal cord injury and stroke. Not all of these therapies and clinical trials have had positive outcomes. One particular area of rapid expansion reflects the use of technology in neurorehabilitation and several chapters remain devoted to this topic in various forms. Still a better understanding of the interactions of technology led therapies and conventional approaches in patients with neurodisability is required. There is still work to be done in defining key components of all neurorehabilitation interventions in order to understand how they might best be delivered for maximum benefit.

Bones are multifunctional passive organs of movement that supports soft tissue and directly attached muscles. They also protect internal organs and are a reserve of calcium, phosphorus and magnesium. Each bone is covered with periosteum, and the adjacent bone surfaces are covered by articular cartilage. Histologically, the bone is an organ composed of many different tissues. The main component is bone tissue (cortical and spongy) composed of a set of bone cells and intercellular substance (mineral and organic), it also contains fat, hematopoietic (bone marrow) and cartilaginous tissue. Bones are a tissue that even in adult life retains the ability to change shape and structure depending on changes in their mechanical and hormonal environment, as well as self-renewal and repair capabilities. This process is called bone turnover. The basic processes of bone turnover are: • bone modeling (incessantly changes in bone shape during individual growth) following resorption and tissue formation at various locations (e.g. bone marrow formation) to increase mass and skeletal morphology. This process occurs in the bones of growing individuals and stops after reaching puberty • bone remodeling (processes involve in maintaining bone tissue by resorbing and replacing old bone tissue with new tissue in the same place, e.g. repairing micro fractures). It is a process involving the removal and internal remodeling of existing bone and is responsible for maintaining tissue mass and architecture of mature bones. Bone turnover is regulated by two types of transformation: • osteoclastogenesis, i.e. formation of cells responsible for bone resorption • osteoblastogenesis, i.e. formation of cells responsible for bone formation (bone matrix synthesis and mineralization) Bone maturity can be defined as the completion of basic structural development and mineralization leading to maximum mass and optimal mechanical strength. The highest rate of increase in pig bone mass is observed in the first twelve weeks after birth. This period of growth is considered crucial for optimizing the growth of the skeleton of pigs, because the degree of bone mineralization in later life stages (adulthood) depends largely on the amount of bone minerals accumulated in the early stages of their growth. The development of the technique allows to determine the condition of the skeletal system (or individual bones) in living animals by methods used in human medicine, or after their slaughter. For in vivo determination of bone properties, Abstract 10 double energy X-ray absorptiometry or computed tomography scanning techniques are used. Both methods allow the quantification of mineral content and bone mineral density. The most important property from a practical point of view is the bone’s bending strength, which is directly determined by the maximum bending force. The most important factors affecting bone strength are: • age (growth period), • gender and the associated hormonal balance, • genotype and modification of genes responsible for bone growth • chemical composition of the body (protein and fat content, and the proportion between these components), • physical activity and related bone load, • nutritional factors: – protein intake influencing synthesis of organic matrix of bone, – content of minerals in the feed (CA, P, Zn, Ca/P, Mg, Mn, Na, Cl, K, Cu ratio) influencing synthesis of the inorganic matrix of bone, – mineral/protein ratio in the diet (Ca/protein, P/protein, Zn/protein) – feed energy concentration, – energy source (content of saturated fatty acids - SFA, content of polyun saturated fatty acids - PUFA, in particular ALA, EPA, DPA, DHA), – feed additives, in particular: enzymes (e.g. phytase releasing of minerals bounded in phytin complexes), probiotics and prebiotics (e.g. inulin improving the function of the digestive tract by increasing absorption of nutrients), – vitamin content that regulate metabolism and biochemical changes occurring in bone tissue (e.g. vitamin D3, B6, C and K). This study was based on the results of research experiments from available literature, and studies on growing pigs carried out at the Kielanowski Institute of Animal Physiology and Nutrition, Polish Academy of Sciences. The tests were performed in total on 300 pigs of Duroc, Pietrain, Puławska breeds, line 990 and hybrids (Great White × Duroc, Great White × Landrace), PIC pigs, slaughtered at different body weight during the growth period from 15 to 130 kg. Bones for biomechanical tests were collected after slaughter from each pig. Their length, mass and volume were determined. Based on these measurements, the specific weight (density, g/cm3) was calculated. Then each bone was cut in the middle of the shaft and the outer and inner diameters were measured both horizontally and vertically. Based on these measurements, the following indicators were calculated: • cortical thickness, • cortical surface, • cortical index. Abstract 11 Bone strength was tested by a three-point bending test. The obtained data enabled the determination of: • bending force (the magnitude of the maximum force at which disintegration and disruption of bone structure occurs), • strength (the amount of maximum force needed to break/crack of bone), • stiffness (quotient of the force acting on the bone and the amount of displacement occurring under the influence of this force). Investigation of changes in physical and biomechanical features of bones during growth was performed on pigs of the synthetic 990 line growing from 15 to 130 kg body weight. The animals were slaughtered successively at a body weight of 15, 30, 40, 50, 70, 90, 110 and 130 kg. After slaughter, the following bones were separated from the right half-carcass: humerus, 3rd and 4th metatarsal bone, femur, tibia and fibula as well as 3rd and 4th metatarsal bone. The features of bones were determined using methods described in the methodology. Describing bone growth with the Gompertz equation, it was found that the earliest slowdown of bone growth curve was observed for metacarpal and metatarsal bones. This means that these bones matured the most quickly. The established data also indicate that the rib is the slowest maturing bone. The femur, humerus, tibia and fibula were between the values of these features for the metatarsal, metacarpal and rib bones. The rate of increase in bone mass and length differed significantly between the examined bones, but in all cases it was lower (coefficient b <1) than the growth rate of the whole body of the animal. The fastest growth rate was estimated for the rib mass (coefficient b = 0.93). Among the long bones, the humerus (coefficient b = 0.81) was characterized by the fastest rate of weight gain, however femur the smallest (coefficient b = 0.71). The lowest rate of bone mass increase was observed in the foot bones, with the metacarpal bones having a slightly higher value of coefficient b than the metatarsal bones (0.67 vs 0.62). The third bone had a lower growth rate than the fourth bone, regardless of whether they were metatarsal or metacarpal. The value of the bending force increased as the animals grew. Regardless of the growth point tested, the highest values were observed for the humerus, tibia and femur, smaller for the metatarsal and metacarpal bone, and the lowest for the fibula and rib. The rate of change in the value of this indicator increased at a similar rate as the body weight changes of the animals in the case of the fibula and the fourth metacarpal bone (b value = 0.98), and more slowly in the case of the metatarsal bone, the third metacarpal bone, and the tibia bone (values of the b ratio 0.81–0.85), and the slowest femur, humerus and rib (value of b = 0.60–0.66). Bone stiffness increased as animals grew. Regardless of the growth point tested, the highest values were observed for the humerus, tibia and femur, smaller for the metatarsal and metacarpal bone, and the lowest for the fibula and rib. Abstract 12 The rate of change in the value of this indicator changed at a faster rate than the increase in weight of pigs in the case of metacarpal and metatarsal bones (coefficient b = 1.01–1.22), slightly slower in the case of fibula (coefficient b = 0.92), definitely slower in the case of the tibia (b = 0.73), ribs (b = 0.66), femur (b = 0.59) and humerus (b = 0.50). Bone strength increased as animals grew. Regardless of the growth point tested, bone strength was as follows femur > tibia > humerus > 4 metacarpal> 3 metacarpal> 3 metatarsal > 4 metatarsal > rib> fibula. The rate of increase in strength of all examined bones was greater than the rate of weight gain of pigs (value of the coefficient b = 2.04–3.26). As the animals grew, the bone density increased. However, the growth rate of this indicator for the majority of bones was slower than the rate of weight gain (the value of the coefficient b ranged from 0.37 – humerus to 0.84 – fibula). The exception was the rib, whose density increased at a similar pace increasing the body weight of animals (value of the coefficient b = 0.97). The study on the influence of the breed and the feeding intensity on bone characteristics (physical and biomechanical) was performed on pigs of the breeds Duroc, Pietrain, and synthetic 990 during a growth period of 15 to 70 kg body weight. Animals were fed ad libitum or dosed system. After slaughter at a body weight of 70 kg, three bones were taken from the right half-carcass: femur, three metatarsal, and three metacarpal and subjected to the determinations described in the methodology. The weight of bones of animals fed aa libitum was significantly lower than in pigs fed restrictively All bones of Duroc breed were significantly heavier and longer than Pietrain and 990 pig bones. The average values of bending force for the examined bones took the following order: III metatarsal bone (63.5 kg) <III metacarpal bone (77.9 kg) <femur (271.5 kg). The feeding system and breed of pigs had no significant effect on the value of this indicator. The average values of the bones strength took the following order: III metatarsal bone (92.6 kg) <III metacarpal (107.2 kg) <femur (353.1 kg). Feeding intensity and breed of animals had no significant effect on the value of this feature of the bones tested. The average bone density took the following order: femur (1.23 g/cm3) <III metatarsal bone (1.26 g/cm3) <III metacarpal bone (1.34 g / cm3). The density of bones of animals fed aa libitum was higher (P<0.01) than in animals fed with a dosing system. The density of examined bones within the breeds took the following order: Pietrain race> line 990> Duroc race. The differences between the “extreme” breeds were: 7.2% (III metatarsal bone), 8.3% (III metacarpal bone), 8.4% (femur). Abstract 13 The average bone stiffness took the following order: III metatarsal bone (35.1 kg/mm) <III metacarpus (41.5 kg/mm) <femur (60.5 kg/mm). This indicator did not differ between the groups of pigs fed at different intensity, except for the metacarpal bone, which was more stiffer in pigs fed aa libitum (P<0.05). The femur of animals fed ad libitum showed a tendency (P<0.09) to be more stiffer and a force of 4.5 kg required for its displacement by 1 mm. Breed differences in stiffness were found for the femur (P <0.05) and III metacarpal bone (P <0.05). For femur, the highest value of this indicator was found in Pietrain pigs (64.5 kg/mm), lower in pigs of 990 line (61.6 kg/mm) and the lowest in Duroc pigs (55.3 kg/mm). In turn, the 3rd metacarpal bone of Duroc and Pietrain pigs had similar stiffness (39.0 and 40.0 kg/mm respectively) and was smaller than that of line 990 pigs (45.4 kg/mm). The thickness of the cortical bone layer took the following order: III metatarsal bone (2.25 mm) <III metacarpal bone (2.41 mm) <femur (5.12 mm). The feeding system did not affect this indicator. Breed differences (P <0.05) for this trait were found only for the femur bone: Duroc (5.42 mm)> line 990 (5.13 mm)> Pietrain (4.81 mm). The cross sectional area of the examined bones was arranged in the following order: III metatarsal bone (84 mm2) <III metacarpal bone (90 mm2) <femur (286 mm2). The feeding system had no effect on the value of this bone trait, with the exception of the femur, which in animals fed the dosing system was 4.7% higher (P<0.05) than in pigs fed ad libitum. Breed differences (P<0.01) in the coross sectional area were found only in femur and III metatarsal bone. The value of this indicator was the highest in Duroc pigs, lower in 990 animals and the lowest in Pietrain pigs. The cortical index of individual bones was in the following order: III metatarsal bone (31.86) <III metacarpal bone (33.86) <femur (44.75). However, its value did not significantly depend on the intensity of feeding or the breed of pigs.

Mesenchymal stem cells (MSCs) represent as multipotent stem cells which hold the abilities of self-renewal and give rise to cells of diverse lineages [1]. With their remarkable combination of multipotent differentiation potential and low immunogenicity, MSCs are considered to be an attractive candidate for cell-based tissue repair and regenerative tissue engineering [2, 3]. Increasing number of studies has demonstrated that mobilization and migration of injected MSCs to the damaged tissues is a key step for these cells to participate in disease treatment and tissue regeneration [4, 5].

Organoids are a new research tool derived from human pluripotent or adult stem cells or somatic cells in vitro to form small, self-organizing 3-dimensional structures that simulate many of the functions of native organs