Automated Author Profile

Liu, Xiaojun

Current S-Index

21.6

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.6

Average Dataset Index per dataset

Total Datasets

36

Total datasets for this author

Average FAIR Score

15.4%

Average FAIR Score per dataset

Total Citations

35

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

CCDC 2444209: Experimental Crystal Structure Determination

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

Authors

  • Yang, Jingya ;
  • Huang, Bao ;
  • Han, Yating ;
  • Dong, Qi ;
  • Liu, Xiaojun ;
  • Zhou, Hongyan
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.5517/ccdc.csd.cc2n1dglJanuary 2025

Transcriptome identification and characterization of long non-coding RNAs in the ovary of hens at four stages

Long non-coding RNAs (lncRNAs) play important roles in transcriptional and post-transcriptional regulation. LncRNAs, which are defined as non-coding RNAs more than 200 bp in length, are involved in key biological processes, such as cell proliferation and differentiation, epigenetic regulation, and gene transcriptional translation. Recent studies have shown that lncRNAs also play major regulatory roles in the reproduction of mammals. However, knowledge of the roles of lncRNAs in the chicken ovary lacking. In this study, we performed RNA-seq analyses of ovarian tissue from Hy-Line brown laying hens at four physiological stages [15, 20, 30, and 68 weeks of age (W)]. We identified 657 lncRNA transcripts that were differentially expressed during ovarian development, the number of down-regulated lncRNAs was higher than the number of up-regulated lncRNAs during development. We predicted the cis and trans target genes of the DE lncRNAs and constructed a lncRNA-mRNA interaction network, which indicated that the DE genes (DEGs) and the target genes of the DE lncRNAs are mainly involved in signaling pathways associated with ovarian development, including oocyte meiosis, calcium signaling pathways, ECM-receptor interactions, and ribosome and focal adhesion. Overall, we found that twelve lncRNAs were strongly involved in ovarian development: LNC_013443, LNC_001029, LNC_005713, LNC_016762, ENSGALT00000101857, LNC_003913, LNC_013692, LNC_012219, LNC_004140, ENSGALT00000096941, LNC_009356, and ENSGALT00000098716. In summary, our study utilized RNA-seq analysis of hen ovaries to explore key lncRNAs involved in ovarian development and function. Furthermore, the comprehensive analysis identified the target genes of these lncRNAs providing a better understanding of the mechanisms underlying ovarian development in hens and a theoretical basis for further research.

Authors

  • Li, Qi ;
  • Li, Jing ;
  • Li, Chong ;
  • Wu, Xing ;
  • Si, Sujin ;
  • Yang, Pengkun ;
  • Li, Wenting ;
  • Han, Ruili ;
  • Li, Guoxi ;
  • Liu, Xiaojun ;
  • Kang, Xiangtao ;
  • Tian, Yadong
1 Citation0 Mentions13% FAIR0.5 Dataset Index
10.6084/m9.figshare.19235675.v1January 2022

Transcriptome identification and characterization of long non-coding RNAs in the ovary of hens at four stages

Long non-coding RNAs (lncRNAs) play important roles in transcriptional and post-transcriptional regulation. LncRNAs, which are defined as non-coding RNAs more than 200 bp in length, are involved in key biological processes, such as cell proliferation and differentiation, epigenetic regulation, and gene transcriptional translation. Recent studies have shown that lncRNAs also play major regulatory roles in the reproduction of mammals. However, knowledge of the roles of lncRNAs in the chicken ovary lacking. In this study, we performed RNA-seq analyses of ovarian tissue from Hy-Line brown laying hens at four physiological stages [15, 20, 30, and 68 weeks of age (W)]. We identified 657 lncRNA transcripts that were differentially expressed during ovarian development, the number of down-regulated lncRNAs was higher than the number of up-regulated lncRNAs during development. We predicted the cis and trans target genes of the DE lncRNAs and constructed a lncRNA-mRNA interaction network, which indicated that the DE genes (DEGs) and the target genes of the DE lncRNAs are mainly involved in signaling pathways associated with ovarian development, including oocyte meiosis, calcium signaling pathways, ECM-receptor interactions, and ribosome and focal adhesion. Overall, we found that twelve lncRNAs were strongly involved in ovarian development: LNC_013443, LNC_001029, LNC_005713, LNC_016762, ENSGALT00000101857, LNC_003913, LNC_013692, LNC_012219, LNC_004140, ENSGALT00000096941, LNC_009356, and ENSGALT00000098716. In summary, our study utilized RNA-seq analysis of hen ovaries to explore key lncRNAs involved in ovarian development and function. Furthermore, the comprehensive analysis identified the target genes of these lncRNAs providing a better understanding of the mechanisms underlying ovarian development in hens and a theoretical basis for further research.

Authors

  • Li, Qi ;
  • Li, Jing ;
  • Li, Chong ;
  • Wu, Xing ;
  • Si, Sujin ;
  • Yang, Pengkun ;
  • Li, Wenting ;
  • Han, Ruili ;
  • Li, Guoxi ;
  • Liu, Xiaojun ;
  • Kang, Xiangtao ;
  • Tian, Yadong
1 Citation0 Mentions13% FAIR0.6 Dataset Index
10.6084/m9.figshare.19235675January 2022

Genome-wide identification evolution and expression of vestigial-like gene family in chicken

Vestigial-like (Vgll) genes are widespread in vertebrates and play an important role in muscle development. In this study, we used bioinformatics methods to systematically identify the chicken VGLL family in the whole genome and investigated its evolutionary history and gene structure features. Tissue expression spectra combined with real-time PCR data were used to analyze the organizational expression pattern of the genes. Based on the maximum likelihood method, a phylogenetic tree of the VGLL family was constructed, and 94 VGLL genes were identified in 24 breeds, among which four VGLL family genes were identified in the chicken genome. Ten motifs were detected in the VGLL genes, and the analysis of introns combined with gene structure revealed that the family was conserved during evolution. Tissue expression analysis suggested that the expression profiles of the VGLL family genes in 16 tissues differed between LU Shi and AA broilers. In addition, a single gene (VGLL2) showed increased expression in chickens at embryonic days 10–16 and was involved in the growth and development of skeletal muscle in chickens in the embryonic stage. In summary, VGLL genes are involved in chicken muscle growth and development, which provides useful information for subsequent functional studies of VGLL genes.

Authors

  • Hou, Dan ;
  • Qin, Panpan ;
  • Niu, Xinran ;
  • Li, Tong ;
  • Chen, Bingjie ;
  • Wei, Chengjie ;
  • Jing, Zhenzhu ;
  • Han, Ruili ;
  • Li, Hong ;
  • Liu, Xiaojun ;
  • Tian, Yadong ;
  • Li, Donghua ;
  • Li, Zhuanjian ;
  • Cai, Hanfang ;
  • Kang, Xiangtao
1 Citation0 Mentions13% FAIR0.5 Dataset Index
10.6084/m9.figshare.14673984January 2021

Genome-wide identification evolution and expression of vestigial-like gene family in chicken

Vestigial-like (Vgll) genes are widespread in vertebrates and play an important role in muscle development. In this study, we used bioinformatics methods to systematically identify the chicken VGLL family in the whole genome and investigated its evolutionary history and gene structure features. Tissue expression spectra combined with real-time PCR data were used to analyze the organizational expression pattern of the genes. Based on the maximum likelihood method, a phylogenetic tree of the VGLL family was constructed, and 94 VGLL genes were identified in 24 breeds, among which four VGLL family genes were identified in the chicken genome. Ten motifs were detected in the VGLL genes, and the analysis of introns combined with gene structure revealed that the family was conserved during evolution. Tissue expression analysis suggested that the expression profiles of the VGLL family genes in 16 tissues differed between LU Shi and AA broilers. In addition, a single gene (VGLL2) showed increased expression in chickens at embryonic days 10–16 and was involved in the growth and development of skeletal muscle in chickens in the embryonic stage. In summary, VGLL genes are involved in chicken muscle growth and development, which provides useful information for subsequent functional studies of VGLL genes.

Authors

  • Hou, Dan ;
  • Qin, Panpan ;
  • Niu, Xinran ;
  • Li, Tong ;
  • Chen, Bingjie ;
  • Wei, Chengjie ;
  • Jing, Zhenzhu ;
  • Han, Ruili ;
  • Li, Hong ;
  • Liu, Xiaojun ;
  • Tian, Yadong ;
  • Li, Donghua ;
  • Li, Zhuanjian ;
  • Cai, Hanfang ;
  • Kang, Xiangtao
1 Citation0 Mentions85% FAIR1.3 Dataset Index
10.6084/m9.figshare.14673984.v1January 2021

Additional file 1 of Detection of CNV in the SH3RF2 gene and its effects on growth and carcass traits in chickens

Additional file 1: Table S1. The Genotypic information on the studied chicken breeds. (XLS 234 kb)

Authors

  • Jing, Zhenzhu ;
  • Wang, Xinlei ;
  • Cheng, Yingying ;
  • Wei, Chengjie ;
  • Hou, Dan ;
  • Li, Tong ;
  • Li, Wenya ;
  • Han, Ruili ;
  • Li, Hong ;
  • Sun, Guirong ;
  • Tian, Yadong ;
  • Liu, Xiaojun ;
  • Kang, Xiangtao ;
  • Li, Zhuanjian
1 Citation0 Mentions13% FAIR0.7 Dataset Index
10.6084/m9.figshare.11917038.v1January 2020

Additional file 1 of Detection of CNV in the SH3RF2 gene and its effects on growth and carcass traits in chickens

Additional file 1: Table S1. The Genotypic information on the studied chicken breeds. (XLS 234 kb)

Authors

  • Jing, Zhenzhu ;
  • Wang, Xinlei ;
  • Cheng, Yingying ;
  • Wei, Chengjie ;
  • Hou, Dan ;
  • Li, Tong ;
  • Li, Wenya ;
  • Han, Ruili ;
  • Li, Hong ;
  • Sun, Guirong ;
  • Tian, Yadong ;
  • Liu, Xiaojun ;
  • Kang, Xiangtao ;
  • Li, Zhuanjian
1 Citation0 Mentions13% FAIR0.7 Dataset Index
10.6084/m9.figshare.11917038January 2020

Additional file 1: of iGUIDE: an improved pipeline for analyzing CRISPR cleavage specificity

Table S1. Methods for mapping sites of new DNA cleavage based on incorporation of new DNAs. (XLSX 10 kb)

Authors

  • Nobles, Christopher ;
  • Reddy, Shantan ;
  • Salas-McKee, January ;
  • Liu, Xiaojun ;
  • June, Carl ;
  • Melenhorst, J. ;
  • Davis, Megan ;
  • Zhao, Yangbing ;
  • Bushman, Frederic
1 Citation0 Mentions13% FAIR0.5 Dataset Index
10.6084/m9.figshare.7604396January 2019

Additional file 2: of iGUIDE: an improved pipeline for analyzing CRISPR cleavage specificity

Table S2. Oligonucleotides used in this study. (XLSX 10 kb)

Authors

  • Nobles, Christopher ;
  • Reddy, Shantan ;
  • Salas-McKee, January ;
  • Liu, Xiaojun ;
  • June, Carl ;
  • Melenhorst, J. ;
  • Davis, Megan ;
  • Zhao, Yangbing ;
  • Bushman, Frederic
1 Citation0 Mentions13% FAIR0.5 Dataset Index
10.6084/m9.figshare.7604405January 2019

Additional file 1: of iGUIDE: an improved pipeline for analyzing CRISPR cleavage specificity

Table S1. Methods for mapping sites of new DNA cleavage based on incorporation of new DNAs. (XLSX 10 kb)

Authors

  • Nobles, Christopher ;
  • Reddy, Shantan ;
  • Salas-McKee, January ;
  • Liu, Xiaojun ;
  • June, Carl ;
  • Melenhorst, J. ;
  • Davis, Megan ;
  • Zhao, Yangbing ;
  • Bushman, Frederic
1 Citation0 Mentions13% FAIR0.7 Dataset Index
10.6084/m9.figshare.7604396.v1January 2019