Sequence-to-function models can predict gene expression from sequence data and be used to link genetic information with transcriptomics data to understand regulatory processes and their effects on complex phenotypes. ...
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Silicon stands as a key anode material in lithium-ion battery ascribing to its high energy ***,the poor rate performance and limited cycling life remain unresolved through conventional approaches that involve carbon c...
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Silicon stands as a key anode material in lithium-ion battery ascribing to its high energy ***,the poor rate performance and limited cycling life remain unresolved through conventional approaches that involve carbon composites or nanostructures,primarily due to the un-controllable effects arising from the substantial formation of a solid electrolyte interphase(SEI)during the ***,an ultra-thin and homogeneous Ti doping alumina oxide catalytic interface is meticulously applied on the porous Si through a synergistic etching and hydrolysis *** defect-rich oxide interface promotes a selective adsorption of fluoroethylene carbonate,leading to a catalytic reaction that can be aptly described as“molecular concentration-in situ conversion”.The resultant inorganic-rich SEI layer is electrochemical stable and favors ion-transport,particularly at high-rate cycling and high *** robustly shielded porous Si,with a large surface area,achieves a high initial Coulombic efficiency of 84.7%and delivers exceptional high-rate performance at 25 A g^(−1)(692 mAh g^(−1))and a high Coulombic efficiency of 99.7%over 1000 *** robust SEI constructed through a precious catalytic layer promises significant advantages for the fast development of silicon-based anode in fast-charging batteries.
Oxidative stress, characterized by an imbalance between reactive oxygen species (ROS) and antioxidants, plays a pivotal role in inflammatory responses associated with both chronic diseases and acute injuries. In this ...
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The AlphaFold Protein Structure Database (https://***/) has made significant strides in enhancing its utility and accessibility for the life science research community. The recent integration of AlphaMissense predicti...
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Background: Adult septic patients with substance abuse disorder (SUD) are at increased risk of poor outcomes, but the impact on adolescents is unknown. We aimed to determine if pre-existing SUD is associated with incr...
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Emerging evidence indicates that splicing factors mediate the close link between transcription and splicing. However, the mechanisms underlying this coupling remain unclear. U1 small nuclear ribonucleoprotein particle...
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Background: The study of protein subcellular localization (PSL) is important for elucidating protein functions involved in various cellular processes. However, determining the localization sites of a protein through w...
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Background: The study of protein subcellular localization (PSL) is important for elucidating protein functions involved in various cellular processes. However, determining the localization sites of a protein through wet-lab experiments can be time-consuming and labor-intensive. Thus, computational approaches become highly desirable. Most of the PSL prediction systems are established for single-localized proteins. However, a significant number of eukaryotic proteins are known to be localized into multiple subcellular organelles. Many studies have shown that proteins may simultaneously locate or move between different cellular compartments and be involved in different biological processes with different roles. Results: In this study, we propose a knowledge based method, called KnowPredsite, to predict the localization site(s) of both single-localized and multi-localized proteins. Based on the local similarity, we can identify the "related sequences" for prediction. We construct a knowledge base to record the possible sequence variations for protein sequences. When predicting the localization annotation of a query protein, we search against the knowledge base and used a scoring mechanism to determine the predicted sites. We downloaded the dataset from ngLOC, which consisted of ten distinct subcellular organelles from 1923 species, and performed ten-fold cross validation experiments to evaluate KnowPredsite's performance. The experiment results show that KnowPredsite achieves higher prediction accuracy than ngLOC and Blast-hit method. For single-localized proteins, the overall accuracy of KnowPredsite is 91.7%. For multi-localized proteins, the overall accuracy of KnowPredsite is 72.1%, which is significantly higher than that of ngLOC by 12.4%. Notably, half of the proteins in the dataset that cannot find any Blast hit sequence above a specified threshold can still be correctly predicted by KnowPredsite. Conclusion: KnowPredsite demonstrates the power of identifying rel
BACKGROUND:Rates of cervical cancer incidence and mortality are persistently higher among Latina women in the continental United States (US) and women in Puerto Rico (a US territory) compared with non-Hispanic White (...
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BACKGROUND:Rates of cervical cancer incidence and mortality are persistently higher among Latina women in the continental United States (US) and women in Puerto Rico (a US territory) compared with non-Hispanic White (NHW) women. Multiple factors contribute to low participation in cancer screening, including structural barriers (e.g., low access to healthcare services, racism/discrimination, lack of culturally and linguistically adequate information), cultural concerns, and low perceived risk and awareness of cervical cancer. Although community-based education and navigation support can be effective in overcoming some barriers to screening, structural barriers and limited access remain formidable challenges to overcome. Emerging technologies supporting self-sampling for high-risk human papillomavirus (HPV) testing may offer a valuable evidence-based strategy for empowering Latina women to engage in cervical cancer screening. Thus, the objective of this study is to assess the feasibility and acceptability of a novel HPV self-sampling intervention for underscreened Latina women.
METHODS:The study will be a randomized controlled feasibility trial involving 100 Latina women who have not received cervical cancer screening within the recommended guidelines. Participants will be randomly assigned to the intervention condition, which includes a synchronous three-session group cervical cancer educational program delivered virtually along with a mailed HPV self-sampling kit (to obtain self-collected cervical samples for HPV testing), or to a comparison condition that involves receipt of the mailed HPV self-sampling kit with written information about cervical cancer screening and nearby clinics. Study assessments will be obtained at baseline (i.e., study entry) and 1-month post-program. The primary outcome of feasibility will be measured through study enrollment and intervention completion. In addition, acceptability of study materials and the self-sampling procedures will be a
Motivation: Bulk RNA-Seq is a widely used method for studying gene expression across a variety of contexts. The significance of RNA-Seq studies has grown with the advent of high-throughput sequencing technologies. Com...
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