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Article ; Online: Reply to Ran et al.

Tong, Ming / Zheng, Qing / Chen, Fang / Zhu, Yimin

2021 Volume 224, Issue 5, Page(s) 926–927

Language	English
Publishing date	2021-09-13
Publishing country	United States
Document type	Letter ; Research Support, Non-U.S. Gov't ; Comment
ZDB-ID	3019-3
ISSN	1537-6613 ; 0022-1899
ISSN (online)	1537-6613
ISSN	0022-1899
DOI	10.1093/infdis/jiab190
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Article ; Online: RAN/RANBP2

Wang, Juxiang / Zhuo, Zhenjian / Chen, Min / Zhu, Jinhong / Zhao, Jie / Zhang, Jiao / Chen, Shanshan / He, Jing / Zhou, Haixia

Aging

2018 Volume 10, Issue 4, Page(s) 808–818

Abstract: The genetic etiology of sporadic neuroblastoma remains largely obscure. ...

Abstract	The genetic etiology of sporadic neuroblastoma remains largely obscure.
MeSH term(s)	Asian Continental Ancestry Group ; Case-Control Studies ; Child ; Female ; Genetic Predisposition to Disease/genetics ; Genotype ; Humans ; Male ; Molecular Chaperones/genetics ; Neuroblastoma/genetics ; Nuclear Pore Complex Proteins/genetics ; Odds Ratio ; Polymorphism, Single Nucleotide ; ran GTP-Binding Protein/genetics
Chemical Substances	Molecular Chaperones ; Nuclear Pore Complex Proteins ; RAN protein, human ; ran-binding protein 2 ; ran GTP-Binding Protein (EC 3.6.5.2)
Language	English
Publishing date	2018-04-20
Publishing country	United States
Document type	Journal Article ; Multicenter Study ; Research Support, Non-U.S. Gov't
ISSN	1945-4589
ISSN (online)	1945-4589
DOI	10.18632/aging.101429
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Article ; Online: Recent Advances in Machine Learning for Network Automation in the O-RAN.

Hamdan, Mutasem Q / Lee, Haeyoung / Triantafyllopoulou, Dionysia / Borralho, Rúben / Kose, Abdulkadir / Amiri, Esmaeil / Mulvey, David / Yu, Wenjuan / Zitouni, Rafik / Pozza, Riccardo / Hunt, Bernie / Bagheri, Hamidreza / Foh, Chuan Heng / Heliot, Fabien / Chen, Gaojie / Xiao, Pei / Wang, Ning / Tafazolli, Rahim

Sensors (Basel, Switzerland)

2023 Volume 23, Issue 21

Abstract: ... networks, with the Open Radio Access Network (O-RAN) architecture emerging as a promising solution. O-RAN ... interoperable solutions. However, managing and automating the complex O-RAN ecosystem presents numerous ... years, offering promising avenues for network automation in O-RAN. This paper presents a comprehensive ...

Abstract	The evolution of network technologies has witnessed a paradigm shift toward open and intelligent networks, with the Open Radio Access Network (O-RAN) architecture emerging as a promising solution. O-RAN introduces disaggregation and virtualization, enabling network operators to deploy multi-vendor and interoperable solutions. However, managing and automating the complex O-RAN ecosystem presents numerous challenges. To address this, machine learning (ML) techniques have gained considerable attention in recent years, offering promising avenues for network automation in O-RAN. This paper presents a comprehensive survey of the current research efforts on network automation usingML in O-RAN.We begin by providing an overview of the O-RAN architecture and its key components, highlighting the need for automation. Subsequently, we delve into O-RAN support forML techniques. The survey then explores challenges in network automation usingML within the O-RAN environment, followed by the existing research studies discussing application of ML algorithms and frameworks for network automation in O-RAN. The survey further discusses the research opportunities by identifying important aspects whereML techniques can benefit.
Language	English
Publishing date	2023-10-28
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s23218792
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Article ; Online: Up-regulation of RAN by MYBL2 maintains osteosarcoma cancer stem-like cells population during heterogeneous tumor generation.

Gao, Weijie / Zhou, Jing / Huang, Jintao / Zhang, Zhiguang / Chen, Wanqi / Zhang, Ruhua / Kang, Tiebang / Liao, Dan / Zhong, Li

Cancer letters

2024 Volume 586, Page(s) 216708

Abstract: ... and differentiation, we identify RAN exhibiting specific peak expression in osteosarcoma CSCs clusters ... which is transcriptionally up-regulated by MYBL2. Functionality, MYBL2-RAN pathway promotes the CSCs self ... of RAN as a positive feedback. Importantly, blockage of MYBL2-RAN pathway sensitizes CSCs to cisplatin ...

Abstract	Intratumor heterogeneity is one of the major features of cancers, leading to aggressive disease and treatment failure. Cancer stem-like cells (CSCs) are believed to give rise to the heterogeneous cell types within tumors. Hence, understanding the regulatory mechanism underlying the recurrence process of heterogeneous tumor by CSCs could facilitate the development of CSC-targeted therapies. Here, utilizing single-cell transcriptomics, we present the molecular profile of osteosarcoma CSCs-derived heterogeneous tumors consisting of CSC clusters, osteoprogenitor and differentiated cell types, such as pre-osteoblasts, osteoblasts and chondroblasts. Furthermore, by constructing the comprehensive map of modulated genes during CSCs self-renewal and differentiation, we identify RAN exhibiting specific peak expression in osteosarcoma CSCs clusters which is transcriptionally up-regulated by MYBL2. Functionality, MYBL2-RAN pathway promotes the CSCs self-renewal by enhancing the nuclear accumulation of MYC protein, which in turn boosts the overexpression of RAN as a positive feedback. Importantly, blockage of MYBL2-RAN pathway sensitizes CSCs to cisplatin treatment and synergistically enhanced the cisplatin-induced cytotoxicity. Both MYBL2 and RAN are highly expressed in clinical osteosarcoma tissues which indicate poor prognosis. Collectively, our study provides advanced insights into the regeneration process of heterogeneous tumor originating from CSCs and highlights the MYBL2-RAN pathway as a promising target for CSC-based therapy in osteosarcoma.
MeSH term(s)	Humans ; Bone Neoplasms/metabolism ; Cell Cycle Proteins/metabolism ; Cell Differentiation ; Cell Line, Tumor ; Cisplatin/pharmacology ; Cisplatin/therapeutic use ; Neoplastic Stem Cells/metabolism ; Osteosarcoma/drug therapy ; Trans-Activators/metabolism ; Up-Regulation
Chemical Substances	Cell Cycle Proteins ; Cisplatin (Q20Q21Q62J) ; MYBL2 protein, human ; Trans-Activators ; RAN protein, human
Language	English
Publishing date	2024-02-07
Publishing country	Ireland
Document type	Journal Article
ZDB-ID	195674-7
ISSN	1872-7980 ; 0304-3835
ISSN (online)	1872-7980
ISSN	0304-3835
DOI	10.1016/j.canlet.2024.216708
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Book ; Online: Enabling Feedback-Free MIMO Transmission for FD-RAN

Liu, Jingbo / Chen, Jiacheng / Liu, Zongxi / Zhou, Haibo

A Data-driven Approach

2023

Abstract: ... network (FD-RAN) architecture is proposed for 6G. However, the decoupling of uplink (UL) and downlink (DL ... in FD-RAN makes the existing feedback mechanism ineffective. To this end, we propose an end-to-end data ... of data-driven MIMO, showcasing its potential for application in FD-RAN and 6G. ...

Abstract	To enhance flexibility and facilitate resource cooperation, a novel fully-decoupled radio access network (FD-RAN) architecture is proposed for 6G. However, the decoupling of uplink (UL) and downlink (DL) in FD-RAN makes the existing feedback mechanism ineffective. To this end, we propose an end-to-end data-driven MIMO solution without the conventional channel feedback procedure. Data-driven MIMO can alleviate the drawbacks of feedback including overheads and delay, and can provide customized precoding design for different BSs based on their historical channel data. It essentially learns a mapping from geolocation to MIMO transmission parameters. We first present a codebook-based approach, which selects transmission parameters from the statistics of discrete channel state information (CSI) values and utilizes integer interpolation for spatial inference. We further present a non-codebook-based approach, which 1) derives the optimal precoder from the singular value decomposition (SVD) of the channel; 2) utilizes variational autoencoder (VAE) to select the representative precoder from the latent Gaussian representations; and 3) exploits Gaussian process regression (GPR) to predict unknown precoders in the space domain. Extensive simulations are performed on a link-level 5G simulator using realistic ray-tracing channel data. The results demonstrate the effectiveness of data-driven MIMO, showcasing its potential for application in FD-RAN and 6G.
Keywords	Computer Science - Networking and Internet Architecture
Subject code	003
Publishing date	2023-11-24
Publishing country	us
Document type	Book ; Online
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Book ; Online: Channel-Feedback-Free Transmission for Downlink FD-RAN

Zhao, Jiwei / Chen, Jiacheng / Sun, Zeyu / Shi, Yuhang / Zhou, Haibo / Xuemin / Shen

A Radio Map based Complex-valued Precoding Network Approach

2023

Abstract: ... decoupled RAN (FD-RAN), has emerged for more flexible spectrum resource utilization and lower network costs ... However, with the decoupling of uplink base stations and downlink base stations in FD-RAN, the traditional transmission ...

Abstract	As the demand for high-quality services proliferates, an innovative network architecture, the fully-decoupled RAN (FD-RAN), has emerged for more flexible spectrum resource utilization and lower network costs. However, with the decoupling of uplink base stations and downlink base stations in FD-RAN, the traditional transmission mechanism, which relies on real-time channel feedback, is not suitable as the receiver is not able to feedback accurate and timely channel state information to the transmitter. This paper proposes a novel transmission scheme without relying on physical layer channel feedback. Specifically, we design a radio map based complex-valued precoding network~(RMCPNet) model, which outputs the base station precoding based on user location. RMCPNet comprises multiple subnets, with each subnet responsible for extracting unique modal features from diverse input modalities. Furthermore, the multi-modal embeddings derived from these distinct subnets are integrated within the information fusion layer, culminating in a unified representation. We also develop a specific RMCPNet training algorithm that employs the negative spectral efficiency as the loss function. We evaluate the performance of the proposed scheme on the public DeepMIMO dataset and show that RMCPNet can achieve 16\% and 76\% performance improvements over the conventional real-valued neural network and statistical codebook approach, respectively.
Keywords	Computer Science - Information Theory ; Computer Science - Machine Learning
Subject code	003
Publishing date	2023-11-29
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Prognostic potential of the small GTPase Ran and its methylation in hepatocellular carcinoma.

Liu, Hui-Hui / Wang, Ju / Zhang, Ying / Fan, Yu-Chen / Wang, Kai

Hepatobiliary & pancreatic diseases international : HBPD INT

2022 Volume 21, Issue 3, Page(s) 248–256

Abstract: ... The prognostic significance of Ran, a member of Ras superfamily, remains unclear in HCC patients.: Methods ... we analyzed the correlations among Ran expression, promoter methylation and immune cell infiltration. We also ... investigated the Ran expression levels in HCC tissues and normal tissues by using quantitative real-time PCR ...

Abstract	Background: Hepatocellular carcinoma (HCC) is a common malignant tumor with high mortality. The prognostic significance of Ran, a member of Ras superfamily, remains unclear in HCC patients. Methods: Based on The Cancer Genome Atlas (TCGA) database and Tumor Immune Estimation Resource (TIMER), we analyzed the correlations among Ran expression, promoter methylation and immune cell infiltration. We also investigated the Ran expression levels in HCC tissues and normal tissues by using quantitative real-time PCR. Results: Ran mRNA expression was significantly increased in HCC tissues compared with the normal tissues (P < 0.001). Time-dependent receiver operating characteristic (ROC) curves showed that Ran expression had predictive value of the 1-, 3- and 5-year overall survival for HCC patients, and the areas under the curves (AUC) were 0.747, 0.634 and 0.704, respectively. Cox regression analysis showed that Ran expression was an independent prognostic factor for HCC patients (HR = 1.492, 95% CI: 1.129-1.971, P = 0.005). We also found a negative relationship between Ran mRNA expression and its promoter methylation (r = -0.36, P < 0.001). High Ran expression and promoter hypomethylation predicted worse overall survival and progression-free survival (P < 0.05) and were involved in the progression of HCC. Ran expression exhibited significant correlations with immune infiltrates and prognostic immune-related genes. Conclusions: The present study provides further insight into the prognosis of HCC, and Ran could serve as a biomarker for predicting the survival of HCC patients.
MeSH term(s)	Biomarkers, Tumor/genetics ; Biomarkers, Tumor/metabolism ; Carcinoma, Hepatocellular/pathology ; DNA Methylation ; Humans ; Liver Neoplasms/pathology ; Monomeric GTP-Binding Proteins/genetics ; Monomeric GTP-Binding Proteins/metabolism ; Prognosis ; RNA, Messenger/genetics ; RNA, Messenger/metabolism
Chemical Substances	Biomarkers, Tumor ; RNA, Messenger ; Monomeric GTP-Binding Proteins (EC 3.6.5.2)
Language	English
Publishing date	2022-03-22
Publishing country	Singapore
Document type	Journal Article
ZDB-ID	2241386-8
ISSN	1499-3872
ISSN	1499-3872
DOI	10.1016/j.hbpd.2022.03.011
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Article ; Online: RSL1D1 promotes the progression of colorectal cancer through RAN-mediated autophagy suppression.

Liu, Xunhua / Chen, Jianxiong / Long, Xiaoli / Lan, Jiawen / Liu, Xiaoting / Zhou, Miao / Zhang, Sijing / Zhou, Jun

Cell death & disease

2022 Volume 13, Issue 1, Page(s) 43

Abstract: ... cells by suppressing autophagy. Interestingly, RSL1D1 interacted with RAN and inhibited ... its deacetylation by competitively binding with Sirt7. By affecting the acetylation of RAN, RSL1D1 inhibited ... the key role of the RSL1D1/RAN/STAT3 regulatory axis in autophagy and tumor progression in CRC, providing ...

Abstract	RSL1D1 (ribosomal L1 domain containing 1), a member of the universal ribosomal protein uL1 family, was suggested to be a new candidate target for colorectal cancer (CRC). However, the role of RSL1D1 in cancer, including CRC, remains largely elusive. Here, we demonstrated that RSL1D1 expression was significantly elevated in tumors from CRC patients and that high expression of RSL1D1 was correlated with poorer survival of CRC patients. Functionally, RSL1D1 promoted the proliferation, invasion, and metastasis of CRC cells by suppressing autophagy. Interestingly, RSL1D1 interacted with RAN and inhibited its deacetylation by competitively binding with Sirt7. By affecting the acetylation of RAN, RSL1D1 inhibited the accumulation of nuclear STAT3 and the STAT3-regulated autophagic program. Taken together, our study uncovered the key role of the RSL1D1/RAN/STAT3 regulatory axis in autophagy and tumor progression in CRC, providing a new candidate target for CRC treatment.
MeSH term(s)	Acetylation ; Animals ; Autophagy ; Cell Line, Tumor ; Cell Movement ; Cell Nucleus/metabolism ; Cell Proliferation ; Colorectal Neoplasms/metabolism ; Colorectal Neoplasms/pathology ; Humans ; Mice ; Neoplasm Metastasis ; Pregnancy Proteins/genetics ; Pregnancy Proteins/metabolism ; Prognosis ; Protein Binding ; Ribosomal Proteins/genetics ; Ribosomal Proteins/metabolism ; STAT3 Transcription Factor/metabolism ; Signal Transduction ; Sirtuins/metabolism ; ran GTP-Binding Protein/metabolism
Chemical Substances	Pregnancy Proteins ; RAN protein, human ; RSL1D1 protein, human ; Ribosomal Proteins ; SIRT7 protein, human ; STAT3 Transcription Factor ; STAT3 protein, human ; Sirtuins (EC 3.5.1.-) ; ran GTP-Binding Protein (EC 3.6.5.2)
Language	English
Publishing date	2022-01-10
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2541626-1
ISSN	2041-4889 ; 2041-4889
ISSN (online)	2041-4889
ISSN	2041-4889
DOI	10.1038/s41419-021-04492-z
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Article ; Online: The value evaluation model design and business innovation for P-RAN based on multi-party interaction.

Meng, Fanrong / Liu, Hua / Li, Weimin / Chen, Xin

Scientific reports

2023 Volume 13, Issue 1, Page(s) 4142

Abstract: This paper takes the P-RAN, a proximity wireless access network system for 5G and 6G, as an example ... of P-RAN helps to promote mobile network operators to recognize network interaction and solve ...

Abstract	This paper takes the P-RAN, a proximity wireless access network system for 5G and 6G, as an example, and uses the theory related to value evaluation to discuss how to realize the decentralization of underlying infrastructure from the perspective of different interactive players in the system. The analysis of P-RAN helps to promote mobile network operators to recognize network interaction and solve the problems of weak coverage, reduce the cost of network construction, and provides a new research idea for exploring more network evaluation indicators in the future.
Language	English
Publishing date	2023-03-13
Publishing country	England
Document type	Journal Article
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-023-30602-2
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Book ; Online: A Brief Survey of Open Radio Access Network (O-RAN) Security

Chen, Yi-Zih / Chen, Terrance Yu-Hao / Su, Po-Jung / Liu, Chi-Ting

2023

Abstract: Open Radio Access Network (O-RAN), a novel architecture that separates the traditional radio access ... network (RAN) into multiple disaggregated components, leads a revolution in the telecommunication ... ecosystems. Compared to the traditional RAN, the proposed O-RAN paradigm is more flexible and more cost ...

Abstract	Open Radio Access Network (O-RAN), a novel architecture that separates the traditional radio access network (RAN) into multiple disaggregated components, leads a revolution in the telecommunication ecosystems. Compared to the traditional RAN, the proposed O-RAN paradigm is more flexible and more cost-effective for the operators, vendors, and the public. The key design considerations of O-RAN include virtualization and intelligent capabilities in order to meet the new requirements of 5G. However, because of the open nature and the newly imported techniques in O-RAN architecture, the assessment of the security in O-RAN architecture during its early development stage is crucial. This project aims to present an investigation of the current ORAN architecture from several attack surfaces, including (1) Architectural openness, (2) Cloud and Virtualization, (3) Network slicing, and (4) Machine Learning. The existing attack surfaces and corresponding mitigation methods of these attacks are also surveyed and provided in this report, serving as a guiding principle and valuable recommendation for the O-RAN implementers and framework designers.
Keywords	Computer Science - Networking and Internet Architecture
Subject code	720
Publishing date	2023-11-03
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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