Dynamic Bone V1.1.7 Download //FREE\\ Pc
Tyler Janicke
There was another issue with reassigning root bones, so this fixes that issue (these came up while recording an explainer video). If you run into any more problems, please put in a Github issue or comment on the Youtube video. Once again for the full list of updates, please check release notes for v1.1.0.
Certain options were removed as it is now assumed that the model contains one armature labeled "Armature", and that the "Armature" contains one root bone. The root bone on the mesh renderer of an accessory is now preserved or transferred to its corresponding bone on the main armature.
Metastasis is the major cause of cancer-related deaths. Neuroblastoma (NB), a childhood tumor has been molecularly defined at the primary cancer site, however, the bone marrow (BM) as the metastatic niche of NB is poorly characterized. Here we perform single-cell transcriptomic and epigenomic profiling of BM aspirates from 11 subjects spanning three major NB subtypes and compare these to five age-matched and metastasis-free BM, followed by in-depth single cell analyses of tissue diversity and cell-cell interactions, as well as functional validation. We show that cellular plasticity of NB tumor cells is conserved upon metastasis and tumor cell type composition is NB subtype-dependent. NB cells signal to the BM microenvironment, rewiring via macrophage mgration inhibitory factor and midkine signaling specifically monocytes, which exhibit M1 and M2 features, are marked by activation of pro- and anti-inflammatory programs, and express tumor-promoting factors, reminiscent of tumor-associated macrophages. The interactions and pathways characterized in our study provide the basis for therapeutic approaches that target tumor-to-microenvironment interactions.
Neuroblastoma (NB) accounts for 15% of childhood cancer-related deaths, where >90% of metastatic stage (stage M) NB tumors disseminate to the bone marrow (BM), which acts as a site for disease relapse and progression1,2,3,4. Genetic NB tumor heterogeneity and plasticity have been suggested to contribute to differentiation or metastasis and relapse, serving as intrinsic oncogenic drivers5,6,7,8. Main genetic factors involved in disease onset and progression include amplification of MYCN (MNA), mutation of TP53, amplification or mutation of ALK and other Ras/MAPK pathway genes, and dysregulation of telomere maintenance via rearrangements of TERT or alternative lengthening of telomeres (ALT), which is often associated with mutated or truncated ATRX (ATRXmut)9,10,11,12,13,14. However, recent whole-genome sequencing studies have identified a scarcity of recurrent somatic alterations15, but show that a subgroup of metastatic NB is rather defined by large segmental chromosomal aberrations16 (herein referred to as sporadic).
Recently, the use of single-cell technologies have emerged as powerful tools to comprehensively characterize cellular states within healthy and diseased tissues36. These approaches have been applied to characterize the tumor heterogeneity, along with the tumor microenvironment, of primary NB tumors19,20,21,37, and the composition of adult human BM in normal and disease settings has been investigated, e.g., in leukemia and bone metastases in prostate cancer38,39,40,41,42. However, such approaches have yet to be deployed across different NB subgroups, i.e., MNA, ATRXmut, and sporadic at the BM, the metastatic niche of NB. Here, we apply single-cell ATAC-sequencing (scATAC-seq) and single-cell RNA-sequencing (scRNA-seq) across consensus NB subgroups in tandem with proteomics and functional assays to: (i) study differences in cellular plasticity across NB subtypes in metastatic and primary tumors, (ii) investigate interactions between tumor cells and the BM microenvironment, and (iii) unravel metastasis-induced alterations in the BM.
The figure depicts interactions between NB and myeloid cells in the bone marrow compartment, which are mediated through the MIF (Macrophage Migration Inhibitory Factor) and MK (Midkine) pathways. M, MYCN amplified; A, ATRXmut; S, sporadic.
Attachment Stretch Visualization is now available.
Attachments can now be dynamically colored in the Maya viewport to show how much they are being stretched.This stretch is directly proportional to the force the attachment will apply, so the distribution of forces can be visualizedwith a user-defined color scheme. This allows for quick identification of areas in the simulation where attachments are under large stress.The stretch range can be controlled via the maxVisualStretch attribute on the zSolver node.
The evolutionary mechanisms shaping the origins of genome architecture remain poorly understood but can now be assessed with unprecedented power due to the abundance of genome assemblies spanning phylogenetic diversity. Transposable elements (TEs) are a rich source of large-effect mutations since they directly and indirectly drive genomic structural variation and changes in gene expression. Here, we demonstrate universal patterns of TE compartmentalization across eukaryotic genomes spanning 1.7 billion years of evolution, in which TEs colocalize with gene families under strong predicted selective pressure for dynamic evolution and involved in specific functions. For non-pathogenic species these genes represent families involved in defense, sensory perception and environmental interaction, whereas for pathogenic species, TE-compartmentalized genes are highly enriched for pathogenic functions. Many TE-compartmentalized gene families display signatures of positive selection at the molecular level. Furthermore, TE-compartmentalized genes exhibit an excess of high-frequency alleles for polymorphic TE insertions in fruit fly populations. We postulate that these patterns reflect selection for adaptive TE insertions as well as TE-associated structural variants. This process may drive the emergence of a shared TE-compartmentalized genome architecture across diverse eukaryotic lineages.
Despite it being known that subchondral bone affects the viscoelasticity of cartilage, there has been little research into the mechanical properties of osteochondral tissue as a whole system. This study aims to unearth new knowledge concerning the dynamic behaviour of human subchondral bone and how energy is transferred through the cartilage-bone interface.
The cartilage-bone interface in articulating joints is key to moderating the transmission of tensile, compressive, and shear forces from the articular cartilage to the subchondral bone [1]. The complex organisation of collagen fibres within cartilage, in part, enables it to store and dissipate energy [2], and articular cartilage is considered to be a frequency-dependent viscoelastic structure [3,4,5,6]. Studies that have analysed this interface have primarily focused on its structure and composition, characterising the calcified cartilage and underlying tidemark where collagen type I and II integrate [7,8,9,10]. More recently, biological signalling between articular cartilage and subchondral bone have been identified through vascular microchannels that traverse the subchondral bone and calcified cartilage, allowing diffusion of small molecules [11].
The aim of this study is to characterise the viscoelastic properties of human osteochondral tissues and assess the dissipation of energy by these tissues. More specifically, an approach that characterises viscoelastic behaviour of the osteochondral core and isolated tissues in a physiological frequency range has advantages in being able to assess the significance of the interactions between the two tissues. Therefore, energy dissipation has been analysed for osteochondral tissues. By using dynamic mechanical analysis (DMA), the viscoelastic properties of the human cartilage-bone unit were directly compared to the subchondral bone and articular cartilage. Furthermore, the bone mineral density (BMD) of the subchondral bone was determined, by micro-computed tomography (μ-CT), to identify any relationships with its mechanical properties, or the viscoelastic properties of cartilage.
Flow diagram illustrating femoral head specimen preparation and coring: a Preparation of specimen using a surgical saw, b Example of cartilage-bone block prior to μ-CT analysis demonstrating where core was taken, c Coring of specimen, and d Example of cartilage-bone core prior to dynamic mechanical analysis
No significant relationships existed between BMD and the storage or loss moduli of the cartilage, or the storage and loss moduli of the bone. Furthermore, there were no significant relationships found between total energy dissipated and the thickness of the isolated cartilage, isolated bone, or the osteochondral specimens respectively.
As well as investigating isolated tissues, this research aimed to better understand the osteochondral core as a whole system. Storage stiffness for the cartilage-bone system was logarithmically frequency dependent and lower than cartilage and bone for all frequencies tested (Fig. 4). Loss stiffness for the cartilage-bone system was independent of frequency and lower than isolated specimens across the range of frequencies tested. These results are in line with previous work, which looked solely at bovine cartilage-bone cores and found loss stiffness to be frequency-independent [13, 18]. The difference in behaviour of cartilage isolated from and attached to subchondral bone is emphasised here and has demonstrated that cartilage should not be considered in isolation when determining properties representative of in vivo behaviour. The data obtained in our study supports the development and testing of whole tissue-replacement systems as opposed to cartilage replacement materials in isolation.
Prior studies of bovine cartilage both on- and off-bone found the loss modulus of on-bone cartilage to be frequency-independent, whereas cartilage off-bone has a frequency-dependent modulus [13, 18]. Lawless et al. [13] found that there was no dependency of the storage stiffness on the presence or absence of the underlying subchondral bone, and therefore proposed that on-bone cartilage may be more predisposed to failure than off-bone cartilage due to the storage/loss ratio being higher for cartilage on-bone. The findings of the present study report the same frequency-independence for cartilage on-bone loss modulus, with isolated cartilage displaying a frequency-dependent trend. Thus, findings reported in prior studies support the current results, although it should be noted that the aim of the present study was focused on the viscoelasticity of subchondral bone and the role of the cartilage-bone interface, rather than the cartilage itself. Hence, a more detailed discussion on the viscoelastic properties of cartilage both on- and off-bone is provided elsewhere [13].
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