Yajing Hao

Dr. Yajing Hao

Department of Cellular & Molecular Medicine, University of California San Diego, San Diego, CA, USA
orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 November 2015 in Nucleic Acids Research
Verified
Journal Article
Open access
PDF file
YZYi Zhao
Yi Zhao
HLHui Li
Hui Li
SFShuangsang Fang
Shuangsang Fang
YKYue Kang
Yue Kang
WWWei Wu
Wei Wu
RCRunsheng Chen
Runsheng Chen
NONCODE (http://www.bioinfo.org/noncode/) is an interactive database that aims to present the most complete collection and annotation of non-coding RNAs, especially long non-coding RNAs (lncRNAs). The recently reduced cost of RNA sequencing has produced an explosion of newly identified data. Revolutionary third-generation sequencing methods have also contributed to more accurate annotations. Accumulative experimental data also provides more comprehensive knowledge of lncRNA functions. In this update, NONCODE has added six new species, bringing the total to 16 species altogether. The lncRNAs in NONCODE have increased from 210 831 to 527,336. For human and mouse, the lncRNA numbers are 167,150 and 130,558, respectively. NONCODE 2016 has also introduced three important new features: (i) conservation annotation; (ii) the relationships between lncRNAs and diseases; and (iii) an interface to choose high-quality datasets through predicted scores, literature support and long-read sequencing method support. NONCODE is also accessible through http://www.noncode.org/.

1 November 2020 in Journal of Hepatology
Verified
Journal Article
Open access
MZMin Zhang
Min Zhang
HYHui Yang
Hui Yang
LWLingfei Wan
Lingfei Wan
ZWZhaohai Wang
Zhaohai Wang
HWHaiyang Wang
Haiyang Wang
XYXinlong Yan
Xinlong Yan
Intrahepatic cholangiocarcinoma (ICC) is the second most common liver malignancy. ICC typically features a remarkably cellular heterogeneity and dense stromal reaction. Therefore, a comprehensive understanding of cellular diversity and the interplay between malignant cells and niche cells is essential for elucidating the mechanisms driving ICC progression and developing therapeutic approaches. Herein, we performed single-cell RNA sequencing (scRNA-seq) analysis on unselected viable cells from eight human ICC and adjacent samples to elucidate the comprehensive transcriptomic landscape and intercellular communication network. Additionally, we applied a negative selection strategy to enrich fibroblast populations in two other ICC samples to investigate fibroblast diversity. The results of the analyses were validated using multiplex immunofluorescence staining, bulk transcriptomic datasets, and functional in vitro and in vivo experiments. We sequenced a total of 56,871 single cells derived from human ICC and adjacent tissues and identified diverse tumor, immune, and stromal cells. Malignant cells displayed a high degree of inter-tumor heterogeneity. Moreover, tumor-infiltrating CD4 regulatory T cells (Tregs) exhibited highly immunosuppressive characteristics. We identified six distinct fibroblast subsets, of which the majority were CD146 positive vascular cancer-associated fibroblasts (vCAFs), with highly expressed microvasculature signatures and high levels of IL-6. Functional assays indicated that IL-6 secreted by vCAFs induced significant epigenetic alterations in ICC cells, particularly upregulating enhancer of zeste homolog 2 (EZH2) and thereby enhancing malignancy. Furthermore, ICC cell-derived exosomal miR-9-5p elicited a high expression of IL-6 in vCAFs to promote tumor progression. Our study provides a transcriptomic landscape of human ICC at single-cell resolution and intercellular crosstalk between ICC cells and vCAFs, suggesting potential therapeutic targets.

30 November 2017 in Cancer Research
Verified
Journal Article
Open access
PDF file
XYXinlong Yan
Xinlong Yan
DZDongdong Zhang
Dongdong Zhang
WWWei Wu
Wei Wu
SWShuheng Wu
Shuheng Wu
JQJingfeng Qian
Jingfeng Qian
ZFZusen Fan
Zusen Fan
Accumulating evidence suggests that cancer-associated mesenchymal stem cells (MSC) contribute to the development and metastasis of hepatocellular carcinoma (HCC). Aberrant expression of long noncoding RNAs (lncRNA) has been associated with these processes but cellular mechanisms are obscure. In this study, we report that HCC-associated mesenchymal stem cells (HCC-MSC) promote epithelial–mesenchymal transition (EMT) and liver tumorigenesis. We identified a novel lncRNA that we termed lncRNA–MUF (MSC-upregulated factor) that is highly expressed in HCC tissues and correlated with poor prognosis. Depleting lncRNA–MUF in HCC cells repressed EMT and inhibited their tumorigenic potential. Conversely, lncRNA–MUF overexpression accelerated EMT and malignant capacity. Mechanistic investigations showed that lncRNA–MUF bound Annexin A2 (ANXA2) and activated Wnt/β-catenin signaling and EMT. Furthermore, lncRNA-MUF acted as a competing endogenous RNA for miR-34a, leading to Snail1 upregulation and EMT activation. Collectively, our findings establish a lncRNA-mediated process in MSC that facilitates hepatocarcinogenesis, with potential implications for therapeutic targeting. Cancer Res; 77(23); 6704–16. ©2017 AACR.

16 April 2016 in Database: The Journal of Biological Databases and Curation
Verified
Journal Article
Open access
PDF file
YHYajing Hao
Yajing Hao
WWWei Wu
Wei Wu
HLHui Li
Hui Li
JYJiao Yuan
Jiao Yuan
JLJianjun Luo
Jianjun Luo
RCRunsheng Chen
Runsheng Chen
Despite the fact that a large quantity of noncoding RNAs (ncRNAs) have been identified, their functions remain unclear. To enable researchers to have a better understanding of ncRNAs’ functions, we updated the NPInter database to version 3.0, which contains experimentally verified interactions between ncRNAs (excluding tRNAs and rRNAs), especially long noncoding RNAs (lncRNAs) and other biomolecules (proteins, mRNAs, miRNAs and genomic DNAs). In NPInter v3.0, interactions pertaining to ncRNAs are not only manually curated from scientific literature but also curated from high-throughput technologies. In addition, we also curated lncRNA–miRNA interactions from in silico predictions supported by AGO CLIP-seq data. When compared with NPInter v2.0, the interactions are more informative (with additional information on tissues or cell lines, binding sites, conservation, co-expression values and other features) and more organized (with divisions on data sets by data sources, tissues or cell lines, experiments and other criteria). NPInter v3.0 expands the data set to 491,416 interactions in 188 tissues (or cell lines) from 68 kinds of experimental technologies. NPInter v3.0 also improves the user interface and adds new web services, including a local UCSC Genome Browser to visualize binding sites. Additionally, NPInter v3.0 defined a high-confidence set of interactions and predicted the functions of lncRNAs in human and mouse based on the interactions curated in the database. NPInter v3.0 is available at http://www.bioinfo.org/NPInter/. Database URL: http://www.bioinfo.org/NPInter/

29 January 2017 in Briefings in Bioinformatics
Verified
Journal Article
Closed access
PDF file
YHYajing Hao
Yajing Hao
LZLili Zhang
Lili Zhang
YNYiwei Niu
Yiwei Niu
TCTanxi Cai
Tanxi Cai
JLJianjun Luo
Jianjun Luo
RCRunsheng Chen
Runsheng Chen
Small proteins is the general term for proteins with length shorter than 100 amino acids. Identification and functional studies of small proteins have advanced rapidly in recent years, and several studies have shown that small proteins play important roles in diverse functions including development, muscle contraction and DNA repair. Identification and characterization of previously unrecognized small proteins may contribute in important ways to cell biology and human health. Current databases are generally somewhat deficient in that they have either not collected small proteins systematically, or contain only predictions of small proteins in a limited number of tissues and species. Here, we present a specifically designed web-accessible database, small proteins database (SmProt, http://bioinfo.ibp.ac.cn/SmProt), which is a database documenting small proteins. The current release of SmProt incorporates 255 010 small proteins computationally or experimentally identified in 291 cell lines/tissues derived from eight popular species. The database provides a variety of data including basic information (sequence, location, gene name, organism, etc.) as well as specific information (experiment, function, disease type, etc.). To facilitate data extraction, SmProt supports multiple search options, including species, genome location, gene name and their aliases, cell lines/tissues, ORF type, gene type, PubMed ID and SmProt ID. SmProt also incorporates a service for the BLAST alignment search and provides a local UCSC Genome Browser. Additionally, SmProt defines a high-confidence set of small proteins and predicts the functions of the small proteins.

29 July 2019 in Nature Communications
Verified
Journal Article
Open access
PDF file
YTYuan Tian
Yuan Tian
BYBin Yang
Bin Yang
WQWeinan Qiu
Weinan Qiu
YHYajing Hao
Yajing Hao
ZZZhenxing Zhang
Zhenxing Zhang
PYPengyuan Yang
Pengyuan Yang
Non-alcoholic fatty liver disease (NAFLD) is the hepatic manifestation of the metabolic syndrome that elevates the risk of hepatocellular carcinoma (HCC). Although alteration of lipid metabolism has been increasingly recognized as a hallmark of cancer cells, the deregulated metabolic modulation of HCC cells in the NAFLD progression remains obscure. Here, we discovers an endoplasmic reticulum-residential protein, Nogo-B, as a highly expressed metabolic modulator in both murine and human NAFLD-associated HCCs, which accelerates high-fat, high-carbohydrate diet-induced metabolic dysfunction and tumorigenicity. Mechanistically, CD36-mediated oxLDL uptake triggers CEBPβ expression to directly upregulate Nogo-B, which interacts with ATG5 to promote lipophagy leading to lysophosphatidic acid-enhanced YAP oncogenic activity. This CD36-Nogo-B-YAP pathway consequently reprograms oxLDL metabolism and induces carcinogenetic signaling for NAFLD-associated HCCs. Targeting the Nogo-B pathway may represent a therapeutic strategy for HCC arising from the metabolic syndrome.