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Ubiquitin-mediated proteasomal degradation is an important mechanism to control protein load in the cells. Ubiquitin binds to a protein on lysine residue and usually promotes its degradation through 26S proteasome system. Abnormal proteins and regulators of many processes, are targeted for degradation by the ubiquitin-proteasome system. It allows cells to maintain the response to cellular level signals and altered environmental conditions. The ubiquitin-mediated proteasomal degradation system plays a key role in the plant biology, including abiotic stress, immunity, and hormonal signaling by interfering with key components of these pathways. The involvement of the ubiquitin system in many vital processes led scientists to explore more about the ubiquitin machinery and most importantly its targets. In this review, we have summarized recent discoveries of the plant ubiquitin system and its involvement in critical processes of plant biology.

Since its use for photochemical water splitting reported first in 1972, TiO 2 is one of the most extensively studied photocatalysts for a diverse range of applications. Monodoping or codoping of the catalyst is a proven strategy to enhance the functionality of TiO 2 under solar or visible light. However, the use of three or more dopants in the development of more efficient and visible light active photocatalysts has not been investigated widely, especially for microbial disinfection. Boron/cerium/silver tridoped TiO 2 photocatalysts with curated amounts of the dopants (B = 1, 2 at.%, Ce = 0.1 at.%, Ag = 0.06 at.%), synthesized by the ecofriendly EDTA-citrate method, were evaluated for the disinfection of water using Enterococcus faecalis under UV-A irradiation and degradation of levofloxacin antibiotic under solar light. The catalyst characterization revealed that the spherical nanoparticles had a crystallite size of ~ 13 nm and bandgap energy values of 2.8–2.9 eV. 2B-0.1Ce-0.06Ag-TiO 2 is the best catalyst for microbial disinfection with a log reduction and kinetic rate constant ~ 30 and ~ 4.5 times higher than those values determined for the other codoped or monodoped catalysts, confirming an enhanced performance. Regarding levofloxacin degradation, the best performing catalyst is 1B-0.1Ce-0.06Ag-TiO 2 with degradation of 99% and 83% COD reduction in 100 min. The tridoped photocatalysts are very effective in the inactivation of Enterococcus faecalis , thus solving the problem of antimicrobial resistance in waters containing antibiotic residues. Graphical abstract

Longitudinal cohort studies have traditionally relied on clinic-based recruitment models, which limit cohort diversity and the generalizability of research outcomes. Digital research platforms can be used to increase participant access, improve study engagement, streamline data collection, and increase data quality; however, the efficacy and sustainability of digitally enabled studies rely heavily on the design, implementation, and management of the digital platform being used. We sought to design and build a secure, privacy-preserving, validated, participant-centric digital health research platform (DHRP) to recruit and enroll participants, collect multimodal data, and engage participants from diverse backgrounds in the National Institutes of Health's (NIH) All of Us Research Program (AOU). AOU is an ongoing national, multiyear study aimed to build a research cohort of 1 million participants that reflects the diversity of the United States, including minority, health-disparate, and other populations underrepresented in biomedical research (UBR). We collaborated with community members, health care provider organizations (HPOs), and NIH leadership to design, build, and validate a secure, feature-rich digital platform to facilitate multisite, hybrid, and remote study participation and multimodal data collection in AOU. Participants were recruited by in-person, print, and online digital campaigns. Participants securely accessed the DHRP via web and mobile apps, either independently or with research staff support. The participant-facing tool facilitated electronic informed consent (eConsent), multisource data collection (eg, surveys, genomic results, wearables, and electronic health records [EHRs]), and ongoing participant engagement. We also built tools for research staff to conduct remote participant support, study workflow management, participant tracking, data analytics, data harmonization, and data management. We built a secure, participant-centric DHRP with engaging functionality used to recruit, engage, and collect data from 705,719 diverse participants throughout the United States. As of April 2024, 87% (n=613,976) of the participants enrolled via the platform were from UBR groups, including racial and ethnic minorities (n=282,429, 46%), rural dwelling individuals (n=49,118, 8%), those over the age of 65 years (n=190,333, 31%), and individuals with low socioeconomic status (n=122,795, 20%). We built a participant-centric digital platform with tools to enable engagement with individuals from different racial, ethnic, and socioeconomic backgrounds and other UBR groups. This DHRP demonstrated successful use among diverse participants. These findings could be used as best practices for the effective use of digital platforms to build and sustain cohorts of various study designs and increase engagement with diverse populations in health research.

Despite increasing attention to the potential benefits of infusing computational thinking into content area classrooms, more research is needed to examine how teachers integrate disciplinary content and CT as part of their pedagogical practices. This study traces how middle and high school teachers (n = 24) drew on their existing knowledge and their experiences in a STEM professional development program to infuse CT into their teaching. Our work is grounded in theories of TPACK and TPACK-CT, which leverage teachers' knowledge of technology for computational thinking (CT), CT as a disciplinary pedagogical practice, and STEM content knowledge. Findings identify three key pedagogical supports that teachers utilized and transformed as they taught CT-infused lessons (articulating a key purpose for CT infusion, scaffolding, and collaborative contexts), as well as barriers that caused teachers to adapt or abandon their lessons. Implications include suggestions for future research on CT infusion into secondary classrooms, as well as broader recommendations to support teachers in applying STEM professional development content to classroom practice.

Background and Aim: The natural history of cervical cancer is unique that it is preceded by a precancerous condition for a long time. Morphometry as a tool can be used in early and accurate diagnosis of these precancerous and cancerous lesions. The present study aims at assessing the utility of cellular and nuclear morphometry in differentiating squamous cell abnormality from benign conditions and also differentiating the categories of squamous cell abnormalities. Materials and Methods: Forty-eight diagnosed cases of squamous epithelial cell abnormality, that is, 10 cases each of atypical squamous cell of undetermined significance ( ASC-US), low-grade squamous intraepithelial lesion (LSIL), high-grade SIL (HSIL), and squamous cell carcinoma (SCC) and eight cases of ASC-H (ASC cannot exclude HSIL), were made the sample population and compared with a control population of 10 cases of negative for intraepithelial lesion or malignancy (NILM). Parameters like nuclear area (NA), nuclear perimeter (NP), nuclear diameter (ND), nuclear compactness (NC), cellular area (CA), cellular diameter (CD), cellular perimeter (CP), and nucleocytoplasmic (N/C) ratio were used. Results: There was a significant difference in the six groups of squamous cell abnormality based on NA, NP, ND, CA, CP, and CD (P < 0.05) using one-way analysis of variance. Nuclear morphometry parameters like NA, NP, and ND were found to be the maximum for HSIL, followed by LSIL, ASC-H, ASC-US, SCC, and NILM groups in decreasing order. The mean CA, CP, and CD were found to be the maximum for NILM, followed by LSIL, ASC-US, HSIL, ASC-H, and SCC in decreasing order. On post hoc analysis, the lesions can be divided into three groups: NILM/normal; ASC-US and LSIL; and ASC-H, HSIL, and SCC, based on N/C ratio. Conclusion: In cervical lesions, holistic parameter of cytonucleomorphometry should be taken rather than taking nuclear morphometry only. N/C ratio is a highly statistically significant parameter that can differentiate between low-grade lesions and high-grade lesions.

Purpose: The aim of this study ws to evaluate prognostic factors associated with final visual outcome in patients with congenital cataract associated with congenital rubella syndrome. Methods: A prospective interventional analysis of preoperative systemic and ocular features of 56 eyes of 28 seropositive infants of less than 12 months presenting to us with bilateral cataract was performed. All infants were surgically treated with cataract extraction, posterior capsulorhexis, and anterior vitrectomy followed by visual rehabilitation. Intraocular lens implantation was done in children after 2 years of age. Outcome data were collected till children reached the fifth chronological age. Chi-square test was used as a test of significance for qualitative data. Results: Of the 56 eyes, 44.6% eyes had vision better than 20/60. Important preoperative factors related to poor visual prognosis were morphology of cataract (P = 0.004), microphthalmos (P < 0.001), features suggestive of iris hypoplasia (P < 0.001), optic atrophy (P < 0.001), nystagmus (P = 0.02), and associated neurological anomalies (P = 0.0023). We found no significant statistical association between postoperative visual outcome and isolated rubella retinopathy, cloudy cornea, cardiological, and ontological abnormalities. Conclusion: Cataract associated with rubella is a common cause of congenital cataract in developing countries. Determining prognostic factors helps us in parent counseling and planning treatment protocols. Nevertheless, early detection and treatment with adequate multidisciplinary approach remains priority for improving long-term visual outcomes.

Background: Primary brain tumors constitute the leading cause of cancer-related mortality. Among them, adult diffuse gliomas are the most common type, affecting the cerebral hemispheres and displaying a diffuse infiltrative pattern of growth in the surrounding neuropil that accounts for about 80% of all primary intracranial tumors. The hallmark feature of gliomas is blood vessel proliferation, which plays an important role in tumor growth, tumor biological behavior, and disease outcome. High-grade gliomas exhibit increased vascularity, the worst prognosis, and lower survival rates. Several angiogenic receptors and factors are upregulated in glioblastomas and stimulate angiogenesis signaling pathways by means of activating oncogenes and/or down-regulating tumor-suppressor genes. Existing literature has emphasized that different microvascular patterns (MVPs) are displayed in different subtypes of adult diffuse gliomas. Methods: We examined the distribution and biological characteristics of different MVPs in 50 patients with adult diffuse gliomas. Haematoxylin and eosin staining results, along with periodic acid–Schiff and CD34 dual-stained sections, were examined to assess the vascular patterns and correlate with different grades of diffuse glioma. Results: The present observational study on adult diffuse glioma evaluated tumor grade and MVPs. Microvascular sprouting was the most common pattern, while a bizarre pattern (type 2) was associated with the presence of a high-grade glioma. Vascular mimicry was observed in 6% of cases, all of which were grade 4 gliomas. Conclusions: This study supplements the role of neo-angiogenesis and aberrant vasculature patterns in the grading and progression of adult diffuse gliomas, which can be future targets for planning treatment strategies.

Breast cancer is the most common malignancy affecting females worldwide but conventional risk factors are able to explain only a small proportion of these cases. A possible viral etiology for breast cancer has been proposed and Epstein-Barr Virus (EBV) is a widely researched candidate virus. The aim of the present study, first one of its kind from India, was to determine if there is a greater association of EBV infection with breast cancer patients as compared to patients with benign breast diseases. We looked for expression of Epstein-Barr Virus Nuclear Antigen-1 (EBNA-1) in breast cancer tissue specimens by employing immunohistochemistry (IHC). We also measured levels of anti-EBNA-1 Immunoglobulin (IgG) antibodies in stored sera of these patients using commercial Enzyme linked Immunosorbent Assay (ELISA) kit. Patients with benign breast diseases were used as a comparison group for both immunohistochemical and serological analysis. 58 cases of malignant breast disease and 63 of benign breast disease (controls) were included in the study. Using manufacturer determined cut-off of 3 IU/ml, 50/55 tested (90.9%) cases and 27/33 tested (81.8%) controls were seropositive for anti-EBNA-1 IgG. Mean antibody levels were significantly higher for cases (54.22 IU/ml) as compared to controls (18.68 IU/ml). IHC for EBNA-1 was positive in 28/51 cases (54.9%). No IHC positivity was noted in the tested 30 controls. Our results show that EBNA-1 expression is seen in a significant proportion of breast cancer tissue specimens from rural India and as compared to patients with benign breast diseases these patients also have a higher immunological response against EBNA-1.