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The next generation of regenerative dentistry: From tooth development biology to periodontal tissue, dental pulp, and whole tooth reconstruction in the clinical setting.
Regen Ther
March 2025
Department of Periodontology, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo (Science Tokyo), 1-5-45, Yushima, Bunkyo-ku, Tokyo, 113-8510, Japan.
In modern dentistry, prosthetic approaches such as implants and dentures have been developed as symptomatic solutions for tooth loss. However, the complete regeneration of teeth and periodontal tissue, an ultimate aspiration of humanity, remains unachieved. Recent advancements in fundamental scientific technologies, including single-cell RNA sequencing and spatial transcriptomics, have significantly advanced our molecular understanding of tooth development, paving the way toward achieving this goal.
View Article and Find Full Text PDFEpithelial cell diversity and immune remodeling in bladder cancer progression: insights from single-cell transcriptomics.
J Transl Med
January 2025
Department of Urology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China.
Background: The progression of bladder cancer (BC) from non-muscle-invasive bladder cancer (NMIBC) to muscle-invasive bladder cancer (MIBC) significantly increases disease severity. Although the tumor microenvironment (TME) plays a pivotal role in this process, the heterogeneity of tumor cells and TME components remains underexplored.
Methods: We characterized the transcriptomes of single cells from 11 BC samples, including 4 NMIBC, 4 MIBC, and 3 adjacent normal tissues.
Single cell RNA sequencing improves the next generation of approaches to AML treatment: challenges and perspectives.
Mol Med
January 2025
Department of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, 8174673461, Iran.
Acute myeloid leukemia (AML) is caused by altered maturation and differentiation of myeloid blasts, as well as transcriptional/epigenetic alterations, all leading to excessive proliferation of malignant blood cells in the bone marrow. Tumor heterogeneity due to the acquisition of new somatic alterations leads to a high rate of resistance to current therapies or reduces the efficacy of hematopoietic stem cell transplantation (HSCT), thus increasing the risk of relapse and mortality. Single-cell RNA sequencing (scRNA-seq) will enable the classification of AML and guide treatment approaches by profiling patients with different facets of the same disease, stratifying risk, and identifying new potential therapeutic targets at the time of diagnosis or after treatment.
View Article and Find Full Text PDFA single-cell RNA sequencing dataset of peripheral blood cells in long COVID patients on herbal therapy.
Sci Data
January 2025
Department of Biochemistry & Molecular Biology, Ajou University School of Medicine, Suwon, 16499, South Korea.
Following the coronavirus disease 2019 (COVID-19) pandemic, the rise of long COVID, characterized by persistent respiratory and cognitive dysfunctions, has become a significant health concern. This leads to an increased role of complementary and alternative medicine in addressing this condition. However, our comprehension of the effectiveness and safety of herbal medicines for long COVID remains limited.
View Article and Find Full Text PDFDiffusion Smart-seq3 of breast cancer spheroids to explore spatial tumor biology and test evolutionary principles of tumor heterogeneity.
Sci Rep
January 2025
Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden.
Combining 3D cultures such as tumor spheroids and organoids with spatial omics holds great potential for tissue biology and cancer research. Yet, this potential is presently limited by technical and financial challenges of spatial omics methods and 3D cultures. To address this, we combine dye diffusion, the Smart-seq3xpress protocol for deep single-cell gene expression profiling, and dedicated probabilistic inference methods into diffusion Smart-seq3 (Smart-seq3D), to reveal the transcriptome of single cells along with their position along the core-periphery axis of spheroids.
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