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In this study, we synthesized Fe3O4 nanoparticles (Fe3O4 NPs) of varying sizes and morphologies using the solvothermal method and incorporated them as additives into carbonyl iron magnetorheological fluids (CI-MRFs). We tested the shear stress, yield stress, viscosity and storage modulus of the MRFs using a magnetorheometer to investigate how the size and morphology of Fe3O4 NPs influence the performance of MRFs. Our results indicate that the size of the additive nanoparticles significantly enhances the MR properties of MRFs more than their morphological attributes. This enhancement results from optimizing and stabilizing the CI magnetic chain structure of the nanoparticles in the presence of a magnetic field. Specifically, MRFs with Fe3O4 NPs averaging 250 nm in size exhibit higher yield stress and storage modulus and show increased resistance to shear strains. Although the nanoparticle morphology has a modest effect on the rheological properties of MRFs, hexahedral and octahedral particles can enhance rheological properties through increased internal friction compared to spherical particles. Additionally, Fe3O4 NPs of different sizes and morphologies improve the sedimentation stability of MRFs, with those around 250 nm being particularly effective at slowing down sedimentation. Both hexahedral and octahedral Fe3O4 NPs slow down sedimentation more effectively than spherical Fe3O4 NPs. This paper investigates the rheological properties of CI-MRFs by controlling the additive particle size and morphological features, providing a research foundation for the design and optimization of MRFs. [ABSTRACT FROM AUTHOR]

Tumor heterogeneity and its drivers impair tumor progression and cancer therapy. Single‐cell RNA sequencing is used to investigate the heterogeneity of tumor ecosystems. However, most methods of scRNA‐seq amplify the termini of polyadenylated transcripts, making it challenging to perform total RNA analysis and somatic mutation analysis.Therefore, a high‐throughput and high‐sensitivity method called snHH‐seq is developed, which combines random primers and a preindex strategy in the droplet microfluidic platform. This innovative method allows for the detection of total RNA in single nuclei from clinically frozen samples. A robust pipeline to facilitate the analysis of full‐length RNA‐seq data is also established. snHH‐seq is applied to more than 730 000 single nuclei from 32 patients with various tumor types. The pan‐cancer study enables it to comprehensively profile data on the tumor transcriptome, including expression levels, mutations, splicing patterns, clone dynamics, etc. New malignant cell subclusters and exploring their specific function across cancers are identified. Furthermore, the malignant status of epithelial cells is investigated among different cancer types with respect to mutation and splicing patterns. The ability to detect full‐length RNA at the single‐nucleus level provides a powerful tool for studying complex biological systems and has broad implications for understanding tumor pathology. [ABSTRACT FROM AUTHOR]

Objective To investigate the levels and clinical significance of serum microRNA (miR)-651 and miR-630 in patients with cervical cancer. Methods From June 2017 to May 2020, 108 cervical cancer patients accepted by our hospital were collected as the cervical cancer group. Meantime, 100 cervical intraepithelial neoplasia (CIN) patients treated in our hospital were regarded as the CIN group, and 110 healthy individuals who underwent physical examination were regarded as the control group. Real-time fluorescence quantitative PCR (qRT-PCR) was applied to detect serum levels of miR-651 and miR-630, while analyzing the relationship between serum miR-651 and miR-630 as well as clinical features and prognosis of patients. Results The serum levels of miR-651 and miR-630 in the cervical cancer group and CIN group were obviously lower than those in the control group (P<0.05), while the serum levels of miR-651 and miR-630 in the cervical cancer group were obviously lower than those in the CIN group (P < 0.05). The expression levels of serum miR-651 and miR-630 were positively correlated (r = 0.542, P < 0.05). The serum levels of miR-651 and miR-630 were related to HPV infection, differentiation, lymph node metastasis, and FIGO staging (P < 0.05). The overall survival rate of patients with low levels of miR-651 and miR-630 was lower than that of patients with high levels. Cox regression analysis showed that, HPV infection, degree of differentiation, lymph node metastasis, FIGO staging, miR-651, and miR-630 were all influencing factors for the prognosis of cervical cancer patients (P < 0.05). Conclusion The serum levels of miR-651 and miR-630 in cervical cancer patients decrease, which are related to HPV infection, differentiation, lymph node metastasis, FIGO staging, and prognosis. [ABSTRACT FROM AUTHOR]