Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

The NSL complex is a transcriptional activator. Germline-specific knockdown of NSL complex subunits NSL1, NSL2, and NSL3 results in reduced piRNA production from a subset of bidirectional piRNA clusters, accompanied by widespread transposon derepression. The piRNAs most transcriptionally affected by NSL2 and NSL1 RNAi map to telomeric piRNA clusters. At the chromatin level, these piRNA clusters also show decreased levels of H3K9me3, HP1a, and Rhino after NSL2 depletion. Using NSL2 ChIP-seq in ovaries, we found that this protein specifically binds promoters of telomeric transposons , , and Germline-specific depletion of NSL2 also led to a reduction in nuclear Piwi in nurse cells. Our findings thereby support a role for the NSL complex in promoting the transcription of piRNA precursors from telomeric piRNA clusters and in regulating Piwi levels in the Drosophila female germline.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10313855PMC
http://dx.doi.org/10.26508/lsa.202302194DOI Listing

Publication Analysis

Top Keywords

nsl complex
16
pirna clusters
16
pirna production
8
telomeric pirna
8
depletion nsl2
8
pirna
7
clusters
5
nsl2
5
nsl
4
complex required
4

Similar Publications

The correct classification of orthodontic patients is essential in individualized diagnostics and treatment planning. However, due to the complexity of the craniofacial skeleton and differences related to gender, age, and ethnicity, cephalometric analysis can be prone to errors. This multicenter, cross-sectional study aimed to compare cephalometric measurements between skeletal class I and II in German orthodontic patients and analyze the effect of gender/age subgroups.

View Article and Find Full Text PDF

Resource-constrained Internet of Things (IoT) devices demand efficient and robust intrusion detection systems (IDSs) to counter evolving cyber threats. The traditional IDS models, however, struggle with high computational complexity and inadequate feature extraction, limiting their accuracy and generalizability in IoT environments. To address this, we propose FFT-RDNet, a lightweight IDS framework leveraging depthwise separable convolution and frequency-domain feature fusion.

View Article and Find Full Text PDF

Federated learning is a distributed machine learning framework that allows multiple parties to collaboratively train models without sharing raw data. While it enhances data privacy, it is vulnerable to malicious attacks, especially data poisoning attacks like label flipping. Traditional defense mechanisms perform poorly against these complex and diverse attacks, particularly multi-label flipping attacks.

View Article and Find Full Text PDF

Background: Cleft lip and palate (CLP) is a common congenital anomaly affecting the maxillofacial region, influenced by genetic and environmental factors. This study aims to investigate facial development in adult CLP patients and compare it with healthy controls.

Methods: A total of 67 adult CLP patients and 67 healthy controls were included in this study.

View Article and Find Full Text PDF

Smart deep learning model for enhanced IoT intrusion detection.

Sci Rep

July 2025

Department of Cybersecurity, College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia.

Growing volumes and sensitivities of information in the growing IoT require strong cybersecurity measures to adequately counter increasingly sophisticated cyberattacks. Machine learning-based anomaly detection has the potential to be a viable solution through abnormal network traffic behavior identification that foretells intrusions. Existing approaches, however, are usually hampered by the inability to effectively counter the sophisticated and evolving nature of such threats, especially in preprocessing optimization and hyperparameter tuning, which typically adopt conventional machine learning and deep learning models.

View Article and Find Full Text PDF