Boron Nitride Nanosheets Improve Sensitivity and Reusability of Surface Enhanced Raman Spectroscopy

Surface enhanced Raman spectroscopy (SERS) is a useful multidisciplinary analytic technique. However, it is still a challenge to produce SERS substrates that are highly sensitive, reproducible, stable, reusable, and scalable. Here, we demonstrate that atomically thin boron nitride (BN) nanosheets have many unique and desirable properties to help solve this challenge. The synergic effect of the atomic thickness, high flexibility, stronger surface adsorption capability, electrical insulation, impermeability, high thermal and chemical stability of BN nanosheets can increase the Raman sensitivity by up to two orders, and in the meantime attain long-term stability and extraordinary reusability not achievable by other materials. These advances will greatly facilitate the wider use of SERS in many fields

A novel epigenetic AML1-ETO/THAP10/miR-383 mini-circuitry contributes to t(8;21) leukaemogenesis

DNA methylation patterns are frequently deregulated in t(8;21) acute myeloid leukaemia (AML), but little is known of the mechanisms by which specific gene sets become aberrantly methylated. Here, we found that the promoter DNA methylation signature of t(8;21)(+) AML blasts differs from that of t(8;21)(-) AMLs. This study demonstrated that a novel hypermethylated zinc finger-containing protein, THAP10, is a target gene and can be epigenetically suppressed by AML1-ETO at the transcriptional level in t(8;21) AML. Our findings also show that THAP10 is a bona fide target of miR-383 that can be epigenetically activated by the AML1-ETO recruiting co-activator p300. In this study, we demonstrated that epigenetic suppression of THAP10 is the mechanistic link between AML1-ETO fusion proteins and tyrosine kinase cascades. In addition, we showed that THAP10 is a nuclear protein that inhibits myeloid proliferation and promotes differentiation both in vitro and in vivo Altogether, our results revealed an unexpected and important epigenetic mini-circuit of AML1-ETO/THAP10/miR-383 in t(8;21) AML, in which epigenetic suppression of THAP10 predicts a poor clinical outcome and represents a novel therapeutic target

Determining the role of music attitude and its precursors in stimulating the psychological wellbeing of immigrants during COVID quarantine – a moderated mediation approach

Based on social cognitive theory (SCT), the purpose of this study is to examine the role of music attitude and its essential precursors in stimulating the psychological wellbeing of immigrants in isolation (quarantine) during the COVID pandemic. This study employed quantitative methodology; an online survey was administered to collect sufficient data from 300 immigrants who traveled to China during the pandemic. Data were collected from five centralized quarantine centers situated in different cities in China. Additionally, the valid data set was analyzed using structural equation modeling (SEM) via AMOS 24 and SPSS 24. The results indicate that potential predictors such as cognitive - music experience (MEX), environmental - social media peer influence (SPI), and cultural factors such as native music (NM) have a direct, significant, and positive effect on music attitude (MA), which further influences immigrants’ psychological wellbeing (PW) during their quarantine period. Moreover, in the presence of the mediator (MA), the mediating relationships between MEX and PW, and NM and PW, are positive, significant, and regarded as partial mediation. However, the moderated mediation effects of music type (MT) on MEX-MA-PW and NM-MA-PW were found to be statistically not significant and unsupported. This study contributes to the literature on the effectiveness of individuals’ music attitude and its associated outcomes, focusing on mental health care in lonely situations such as quarantine during the COVID pandemic. More importantly, this study has raised awareness about music, music attitude, and their beneficial outcomes, such as mental calmness and peacefulness for the general public, particularly during social distancing, isolation, and quarantine in the COVID pandemic situation

A comprehensive comparison on clustering methods for multi-slice spatially resolved transcriptomics data analysis

Spatial transcriptomics (ST) data, by providing spatial information, enable simultaneous analysis of gene expression distributions and their spatial patterns within tissue. Clustering or spatial domain detection represents an essential methodology for ST data, facilitating the exploration of spatial organizations with shared gene expression or histological characteristics. Traditionally, clustering algorithms for ST have focused on individual tissue sections. However, the emergence of numerous contiguous tissue sections derived from the same or similar tissue specimens within or across individuals has led to the development of multi-slice clustering methods. In this study, we assess seven single-slice and four multi-slice clustering methods on two simulated datasets and four real datasets. Additionally, we investigate the effectiveness of preprocessing techniques, including spatial coordinate alignment (e.g. PASTE) and gene expression batch effect removal (e.g. Harmony), on clustering performance. Our study provides a comprehensive comparison of clustering methods for multi-slice ST data, serving as a practical guide for method selection in various scenarios