173 Works

Additional file 2 of Gene expression profiles provide insights into the survival strategies in deep-sea mussel (Bathymodiolus platifrons) of different developmental stages

Junrou Huang, Peilin Huang, Jianguo Lu, Nengyou Wu, Genmei Lin, Xilin Zhang, Hong Cao, Wei Geng, Bin Zhai, Cuiling Xu & Zhilei Sun
Additional file 2: Table S1. Pairwise sequence identity and genetic distance of the concatenated dataset (atp6 + COI) between individuals used in the study and other B. spp. Table S2. Summary of transcriptome data before and after quality control. Table S3. Mapping rates. Table S4. Summary of unigenes and transcripts. Table S5. DEGs in the inter-individual comparision groups with the highest fold changes. Table S6. Annotations from each database. Table S7. Expression level matrix of...

Additional file 2 of Gene expression profiles provide insights into the survival strategies in deep-sea mussel (Bathymodiolus platifrons) of different developmental stages

Junrou Huang, Peilin Huang, Jianguo Lu, Nengyou Wu, Genmei Lin, Xilin Zhang, Hong Cao, Wei Geng, Bin Zhai, Cuiling Xu & Zhilei Sun
Additional file 2: Table S1. Pairwise sequence identity and genetic distance of the concatenated dataset (atp6 + COI) between individuals used in the study and other B. spp. Table S2. Summary of transcriptome data before and after quality control. Table S3. Mapping rates. Table S4. Summary of unigenes and transcripts. Table S5. DEGs in the inter-individual comparision groups with the highest fold changes. Table S6. Annotations from each database. Table S7. Expression level matrix of...

Customizable process design for collaborative geographic analysis

Zaiyang Ma, Min Chen, Zhong Zheng, Songshan Yue, Zhiyi Zhu, Beichen Zhang, Jin Wang, Fengyuan Zhang, Yongning Wen & Guonian Lü
Collaborative geographic analysis can lead to better outcomes but requires complicated interactions among participants, support resources and analytic tools. A process expression with explicit structure and content can help coordinate and guide these interactions. For different geographic problems, the structure and content of collaborative geographic analysis are generally distinct. Since the process structure embodies the pathway of problem-solving and the process content contains the information flow and internal interactions, both the structure and the content...

Epg5 deficiency leads to primary ovarian insufficiency due to WT1 accumulation in mouse granulosa cells

Wenwen Liu, Min Chen, Chao Liu, Liying Wang, Huafang Wei, Ruidan Zhang, Zhengxing Ren, Yinghong Chen, Mengcheng Luo, Jianguo Zhao, Hongwei Jiang, Fei Gao & Wei Li
Primary ovarian insufficiency (POI), also known as premature ovarian failure, is an ovarian defect in humans characterized by the premature depletion of ovarian follicles before the age of 40. However, the mechanisms underlying POI remain largely unknown. Here, we show that knockout of Epg5 (ectopic P-granules autophagy protein 5 homolog (C. elegans)) results in subfertility in female mice, which exhibit a POI-like phenotype. Single-cell RNA sequencing analysis revealed that the knockout of Epg5 affected the...

Additional file 1 of Circular RNA circPVT1 promotes nasopharyngeal carcinoma metastasis via the β-TrCP/c-Myc/SRSF1 positive feedback loop

Yongzhen Mo, Yumin Wang, Yian Wang, Xiangying Deng, Qijia Yan, Chunmei Fan, Shuai Zhang, Shanshan Zhang, Zhaojian Gong, Lei Shi, Qianjin Liao, Can Guo, Yong Li, Guiyuan Li, Zhaoyang Zeng, Weihong Jiang, Wei Xiong & Bo Xiang
Additional file 1: Supplemental Table 1. Clinicopathological data of 60 NPC and 26 NPE tissues measured by qRT-PCR.

Additional file 1 of Genomic Architecture of Yield Performance of an Elite Rice Hybrid Revealed by its Derived Recombinant Inbred Line and Their Backcross Hybrid Populations

Fan Zhang, Conghe Zhang, Xiuqin Zhao, Shuangbing Zhu, Kai Chen, Guixiang Zhou, Zhichao Wu, Min Li, Tianqing Zheng, Wensheng Wang, Zhi Yan, Qinyong Fei, Zhikang Li, Jinjie Chen & Jianlong Xu
Additional file 1: Table S1. Phenotypic performance and heterosis of traits in Q9311B/WSSM RILs and backcross F1s (Q9311A × RIL).

Additional file 7 of Genomic Architecture of Yield Performance of an Elite Rice Hybrid Revealed by its Derived Recombinant Inbred Line and Their Backcross Hybrid Populations

Fan Zhang, Conghe Zhang, Xiuqin Zhao, Shuangbing Zhu, Kai Chen, Guixiang Zhou, Zhichao Wu, Min Li, Tianqing Zheng, Wensheng Wang, Zhi Yan, Qinyong Fei, Zhikang Li, Jinjie Chen & Jianlong Xu
Additional file 7: Table S4. Epistasis QTLs for 12 traits in the three environments.

Additional file 3 of Pseudomonas aeruginosa biofilm dispersion by the mouse antimicrobial peptide CRAMP

Yang Zhang, Peng Cheng, Shiyuan Wang, Xiaofen Li, Lianci Peng, Rendong Fang, Jing Xiong, Hui Li, Cui Mei, Jiye Gao, Zhenhui Song, Dengfeng Xu, Lizhi Fu, Chenghong Li, Xueqing Wu, Yuzhang He & Hongwei Chen
Additional file 3. Differentially expressed protein data.

Additional file 3 of Combining QTL mapping and RNA-Seq Unravels candidate genes for Alfalfa (Medicago sativa L.) leaf development

Xueqian Jiang, Xijiang Yang, Fan Zhang, Tianhui Yang, Changfu Yang, Fei He, Ting Gao, Chuan Wang, Qingchuan Yang, Zhen Wang & Junmei Kang
Additional file 3: Table S1 Analysis of variance for LL, LW and LA in an F1 population using mixed model for two years in two locations (CP and LF)

CIED-Activity data, 2015-2018

Ling Tang, Min Jia, Junai Yang, Ling Li, Xin Bo & Zhifu Mi
The Chinese Industrial Emissions Database (CIED) provides inventory of particulate matter (PM), SO2 and NOX from Chinese industries from 2015 to 2018, based on direct measurements from China’s continuous emission monitoring systems (CEMS) network. This document provides activity data for China’s different industrial emission sources.

CIED-Absolute emissions, 2015-2018

Ling Tang, Min Jia, Junai Yang, Ling Li, Xin Bo & Zhifu Mi
The Chinese Industrial Emissions Database (CIED) provides inventory of particulate matter (PM), SO2 and NOX from Chinese industries from 2015 to 2018, based on direct measurements from China’s continuous emission monitoring systems (CEMS) network. This document provides absolute emissions for China’s different industrial emission sources.

Additional file 9 of Proteome-wide analyses reveal diverse functions of protein acetylation and succinylation modifications in fast growing stolons of bermudagrass (Cynodon dactylon L.)

Bing Zhang, Zhuoting Chen, Qixue Sun & Jianxiu Liu
Additional file 9: Table S2: Acetylated proteins and acetylated peptides identified in this study.

Additional file 1 of Community composition and trophic mode diversity of fungi associated with fruiting body of medicinal Sanghuangporus vaninii

Yanjun Ma, Weiqian Gao, Fan Zhang, Xuetai Zhu, Weibao Kong, Shiquan Niu, Kun Gao & Hongqin Yang
Supplementary material 1: Table S1. Taxonomic classification of OTUs detected from Sanghuangporus vaninii fruiting body with total ITS rDNA read numbers. Table S2. The fungal OTUs associated with S. vaninii fruiting body were annotated into trophic modes. Table S3. Trophic modes annotation of associated fungi at genus level. Table S4. Trophic modes and their guilds annotation of fungi associated with S. vaninii fruiting body.

Responses of grazing households to different levels of payments for ecosystem services

Weiwei Shen, Ting Zhou, Hong Chang, Xiao Qiu, Yahong Liu, Hailian Sun, Xiu Zhai, Hongbo Yang, Guihuan Liu & Wu Yang
Payments for Ecosystem Services (PES) programs have been implemented globally to protect ecosystems while securing the well-being of affected people. Reasonable payment standards are key to successful PES programs. Although some approaches are available for determining payment standards, few studies have applied them for grassland conservation with location indicators and socioeconomic contexts properly considered. Using China’s first pilot Grassland Ecological Compensation Policy (GECP) as an example, we analyzed the effects of payment levels, other natural...

Additional file 5 of Combining QTL mapping and RNA-Seq Unravels candidate genes for Alfalfa (Medicago sativa L.) leaf development

Xueqian Jiang, Xijiang Yang, Fan Zhang, Tianhui Yang, Changfu Yang, Fei He, Ting Gao, Chuan Wang, Qingchuan Yang, Zhen Wang & Junmei Kang
Additional file 5: Table S3. List of 2,061 up-regulated genes (‘sativa’ Vs ‘falcata’).

Additional file 6 of Combining QTL mapping and RNA-Seq Unravels candidate genes for Alfalfa (Medicago sativa L.) leaf development

Xueqian Jiang, Xijiang Yang, Fan Zhang, Tianhui Yang, Changfu Yang, Fei He, Ting Gao, Chuan Wang, Qingchuan Yang, Zhen Wang & Junmei Kang
Additional file 6: Table S4. List of 1,709 down-regulated genes (‘sativa’ Vs ‘falcata’).

Additional file 6 of Combining QTL mapping and RNA-Seq Unravels candidate genes for Alfalfa (Medicago sativa L.) leaf development

Xueqian Jiang, Xijiang Yang, Fan Zhang, Tianhui Yang, Changfu Yang, Fei He, Ting Gao, Chuan Wang, Qingchuan Yang, Zhen Wang & Junmei Kang
Additional file 6: Table S4. List of 1,709 down-regulated genes (‘sativa’ Vs ‘falcata’).

Additional file 7 of Combining QTL mapping and RNA-Seq Unravels candidate genes for Alfalfa (Medicago sativa L.) leaf development

Xueqian Jiang, Xijiang Yang, Fan Zhang, Tianhui Yang, Changfu Yang, Fei He, Ting Gao, Chuan Wang, Qingchuan Yang, Zhen Wang & Junmei Kang
Additional file 7: Table S5. The information of the seven candidates.

Additional file 5 of Circular RNA circPVT1 promotes nasopharyngeal carcinoma metastasis via the β-TrCP/c-Myc/SRSF1 positive feedback loop

Yongzhen Mo, Yumin Wang, Yian Wang, Xiangying Deng, Qijia Yan, Chunmei Fan, Shuai Zhang, Shanshan Zhang, Zhaojian Gong, Lei Shi, Qianjin Liao, Can Guo, Yong Li, Guiyuan Li, Zhaoyang Zeng, Weihong Jiang, Wei Xiong & Bo Xiang
Additional file 5: Supplemental Table 5. The potential circPVT1-interacting proteins in CNE2 cells identified by LC-MS/MS spectrometry after pull-down with the biontin-labeled circPVT1 probe.

Additional file 8 of Circular RNA circPVT1 promotes nasopharyngeal carcinoma metastasis via the β-TrCP/c-Myc/SRSF1 positive feedback loop

Yongzhen Mo, Yumin Wang, Yian Wang, Xiangying Deng, Qijia Yan, Chunmei Fan, Shuai Zhang, Shanshan Zhang, Zhaojian Gong, Lei Shi, Qianjin Liao, Can Guo, Yong Li, Guiyuan Li, Zhaoyang Zeng, Weihong Jiang, Wei Xiong & Bo Xiang
Additional file 8: Supplemental Table 8. Clinicopathological data of 3 NPC tissues measured by RNA pull-down.

Additional file 10 of Genomic Architecture of Yield Performance of an Elite Rice Hybrid Revealed by its Derived Recombinant Inbred Line and Their Backcross Hybrid Populations

Fan Zhang, Conghe Zhang, Xiuqin Zhao, Shuangbing Zhu, Kai Chen, Guixiang Zhou, Zhichao Wu, Min Li, Tianqing Zheng, Wensheng Wang, Zhi Yan, Qinyong Fei, Zhikang Li, Jinjie Chen & Jianlong Xu
Additional file 10: Table S6. Allele frequencies of Q9311B and WSSM in 1946 accessions from 3 K-RG.

Additional file 13 of Genomic Architecture of Yield Performance of an Elite Rice Hybrid Revealed by its Derived Recombinant Inbred Line and Their Backcross Hybrid Populations

Fan Zhang, Conghe Zhang, Xiuqin Zhao, Shuangbing Zhu, Kai Chen, Guixiang Zhou, Zhichao Wu, Min Li, Tianqing Zheng, Wensheng Wang, Zhi Yan, Qinyong Fei, Zhikang Li, Jinjie Chen & Jianlong Xu
Additional file 13: Table S8. The genotypic and phenotypic matrix of the population in ICIMapping format.

Additional file 10 of Targeted Identification of Rice Grain-Associated Gene Allelic Variation Through Mutation Induction, Targeted Sequencing, and Whole Genome Sequencing Combined with a Mixed-Samples Strategy

Kai Sun, Dandan Li, Aoyun Xia, Hua Zhao, Qin Wen, Sisi Jia, Jiafeng Wang, Guili Yang, Danhua Zhou, Cuihong Huang, Hui Wang, Zhiqiang Chen & Tao Guo
Additional file 10: Table S7. Mutation site information screened by whole genome sequencing.

Additional file 5 of Targeted Identification of Rice Grain-Associated Gene Allelic Variation Through Mutation Induction, Targeted Sequencing, and Whole Genome Sequencing Combined with a Mixed-Samples Strategy

Kai Sun, Dandan Li, Aoyun Xia, Hua Zhao, Qin Wen, Sisi Jia, Jiafeng Wang, Guili Yang, Danhua Zhou, Cuihong Huang, Hui Wang, Zhiqiang Chen & Tao Guo
Additional file 5: Table S2. Primers for amplifying fragments of the target site.

Additional file 9 of Targeted Identification of Rice Grain-Associated Gene Allelic Variation Through Mutation Induction, Targeted Sequencing, and Whole Genome Sequencing Combined with a Mixed-Samples Strategy

Kai Sun, Dandan Li, Aoyun Xia, Hua Zhao, Qin Wen, Sisi Jia, Jiafeng Wang, Guili Yang, Danhua Zhou, Cuihong Huang, Hui Wang, Zhiqiang Chen & Tao Guo
Additional file 9: Table S6. Mutation site information obtained by targeted sequencing.

Registration Year

  • 2022
    173

Resource Types

  • Dataset
    173

Affiliations

  • Institute of Botany
    173
  • Shanghai Jiao Tong University
    144
  • Chinese Academy of Medical Sciences & Peking Union Medical College
    124
  • West China Hospital of Sichuan University
    109
  • Central South University
    107
  • University of Chinese Academy of Sciences
    107
  • Nanjing Medical University
    102
  • Chinese PLA General Hospital
    97
  • Jilin University
    92
  • Fudan University
    88