The role of morphogenetic forces in cell fate specification is an area of intense interest. Our prior studies suggested that the development of high cell-cell tension in human embryonic stem cells (hESC) colonies perm...
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We present CELL-E 2, a novel bidirectional transformer that can generate images depicting protein subcellular localization from the amino acid sequences (and vice versa). Protein localization is a challenging problem ...
We present CELL-E 2, a novel bidirectional transformer that can generate images depicting protein subcellular localization from the amino acid sequences (and vice versa). Protein localization is a challenging problem that requires integrating sequence and image information, which most existing methods ignore. CELL-E 2 extends the work of CELL-E, not only capturing the spatial complexity of protein localization and produce probability estimates of localization atop a nucleus image, but also being able to generate sequences from images, enabling de novo protein design. We train and finetune CELL-E 2 on two large-scale datasets of human proteins. We also demonstrate how to use CELL-E 2 to create hundreds of novel nuclear localization signals (NLS). Results and interactive demos are featured at https://***/CELL-E_2/.
Cortical folds, known as gyri and sulci, are prominent features of the human brain that play a crucial role in its function. These folds exhibit both consistency and variation within and across individuals and species...
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Cortical folds, known as gyri and sulci, are prominent features of the human brain that play a crucial role in its function. These folds exhibit both consistency and variation within and across individuals and species, presenting a scientific challenge to our understanding of the underlying mechanisms. In this perspective paper, we summarize current knowledge about fold development and placement. We discuss the temporal and anatomical differences between primary, secondary, and tertiary folds, highlighting the consistency of primary folds and the increasing variation in later-developing folds. We explore the biological and mechanical factors that influence fold placement, including gene expression, tissue growth, axonal tension, curvature, thickness, and stiffness, which likely work together in a complex, coupled manner. We also highlight the need for advanced computational modeling approaches to unravel the mechanisms of precise placement of primary folds and further our understanding of brain complexity. Statement of significance: Understanding the factors driving both the consistency and variation in fold patterns is essential for unraveling the functional implications and potential links to neurological and psychiatric disorders. Ultimately, gaining deeper insights into fold development and placement could have significant implications for our fundamental understanding of the brain, as well as mental health research and clinical applications.
Background:Recently, the use of the tumor or its secretions as drug carriers has gradually become popular, with the advantages of high biocompatibility and enhanced drug delivery to specific cells. Melanoma is the mos...
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Background:Recently, the use of the tumor or its secretions as drug carriers has gradually become popular, with the advantages of high biocompatibility and enhanced drug delivery to specific cells. Melanoma is the most malignant tumor of all skin cancers; it is the most metastatic and, therefore, the most difficult to treat. The main purpose of this study is to develop nanovesicles with tumor cell membrane secretion properties to encapsulate target substances to enhance the therapeutic effect of cancer.
Methods:Astaxanthin was selected as an anticancer drug due to our previous research finding that astaxanthin has extremely high antioxidant, anti-ultraviolet damage, and anti-tumor properties. The manufacturing method of the astaxanthin nanovesicle carrier is to mix melanoma cells and astaxanthin in an appropriate ratio and then remove the genetic material and inflammatory factors of cancer cells by extrusion.
Results:In terms of results, after the co-culture of astaxanthin nanovesicles and melanoma cancer cells, it was confirmed that the ability of astaxanthin nanovesicles to inhibit the growth and metastasis of melanoma cancer cells was significantly better than the same amount of astaxanthin alone, and it had no effect on normal Human cells are also effective. There was no apparent harm on normal cells, indicating the ability of the vesicles to be selectively transported.
Conclusion:Our findings illustrated the potential of astaxanthin nanovesicles as an anticancer drug.
Pain is considered a public health problem due to its high economic cost, high prevalence, and great impact on the quality of life of patients and their families. Transcutaneous electrical nerve stimulation (TENS) has...
Pain is considered a public health problem due to its high economic cost, high prevalence, and great impact on the quality of life of patients and their families. Transcutaneous electrical nerve stimulation (TENS) has been shown to be a safe, inexpensive option with satisfactory results in improving pain control. However, the success of this therapy presents as key factors the parameters used, among them the intensity and duration of treatment. However, little is known about the validation of such equipment. To perform a systematic review of the equipment available for the application of electrostimulation as a therapeutic resource for analgesia, which had their methodological properties tested. A systematic literature search was conducted for all relevant scientific articles in the SCIELO, Medline/PubMed, PEDRo, and EBSCO databases. A total of 318 articles were found. Sixty-six were duplicate studies, 252 were selected by title, 72 by abstract, 5 by text full reading, and finally only 2 were included, since the others did not meet the pre-established inclusion criteria. The evidence gathered in this study shows that the performance evaluation of commercially available electrostimulation equipment may be a responsibility of the national regulatory agency. Our findings reinforce the importance of greater availability of information about the regulatory processes of these devices and the verification of the parameters of the regulated devices, so that the achievement of therapeutic goals is not compromised.
We study a complex-valued neural network (cv-NN) with linear, time-delayed interactions. We report the cv-NN displays sophisticated spatiotemporal dynamics, including partially synchronized "chimera" states....
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Islet transplantation is a promising therapy for a subset of people with Type 1 diabetes (T1D). However, beta cell transplant clinical trials have largely failed to maintain long-term normal glycemia in transplant rec...
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Islet transplantation is a promising therapy for a subset of people with Type 1 diabetes (T1D). However, beta cell transplant clinical trials have largely failed to maintain long-term normal glycemia in transplant recipients. This is broadly due to immune rejection of the transplanted islets themselves or the devices in which these cells are encapsulated. As an autoimmune condition, the T1D host presents a uniquely challenging immunological niche for the transplant of additional beta cells. An understanding of the autoimmune environment is crucial for the development of successful beta cell transplant therapies. Here, we provide an overview of the immune cell pathways leading to autoimmune T1D, and the resulting immune niche. Next, we examine biomaterial platforms that can be used for cell transplantation, and describe those that seek to modulate the immune environment to mitigate immune rejection. These approaches include delivery of localized immune cues, co-transplantation with immunomodulatory cells, strategies to engineer islets ex-vivo, and antigen-specific immunomodulation to generate operational tolerance. Finally, we describe therapies which seek to prevent T1D progression which could be repurposed to support beta cell transplantation and future immunoengineering design considerations for successful islet transplantation therapies.
Chemically modified small interfering RNAs (siRNAs) are a promising drug class that silences disease-causing genes via mRNA degradation. Both siRNA-specific features (e.g. sequence, modification pattern, and structure...
Chemically modified small interfering RNAs (siRNAs) are a promising drug class that silences disease-causing genes via mRNA degradation. Both siRNA-specific features (e.g. sequence, modification pattern, and structure) and target mRNA-specific factors contribute to observed efficacy. Systematically defining the relative contributions of siRNA sequence, structure, and modification pattern versus the native context of the target mRNA is necessary to inform design considerations and facilitate the widespread application of this therapeutic platform. To address this, we synthesized a panel of ∼1260 differentially modified siRNAs and evaluated their silencing efficiency against therapeutically relevant mRNAs (APP, BACE1, MAPT, and SNCA) using both reporter-based and native expression assays. Our results demonstrate that the siRNA modification pattern (e.g. level of 2'-O-methyl content) significantly impacts efficacy, while structural features (e.g. symmetric versus asymmetric configurations) do not. Furthermore, we observed substantial differences in the number of effective siRNAs identified per target. These target-specific differences in hit rates are largely mitigated when efficacy is tested in the context of a reporter assay, confirming that native mRNA-specific features influence siRNA performance. Key target-specific factors, including exon usage, polyadenylation site selection, and ribosomal occupancy, partially explained efficacy variability. These insights led to a proposed framework of parameters for optimizing therapeutic siRNA design.
In the brain, a microvascular sensory web coordinates oxygen delivery to regions of neuronal activity. This involves a dense network of capillaries that send conductive signals upstream to feeding arterioles to promot...
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