Gene Expression
Nebulas
Gene Expression Nebulas| 下载 | 数据集编号 | 项目编号 | 系列编号 | 数据集名称 | 物种 | 测序方法 | 样本数量 | 组织 | 细胞类型 | 细胞系 | 健康状况 | 发育阶段 | 个案详情 | 对照详情 | 细胞数 | 生物条件 | 质量与数量 | |||||||||
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| 基准参考 | 遗传 | 表型 | 环境 | 空间 | 时间 | RNA类型 | 比对率中位数 | 覆盖度中位数 | 最大测序读段长度 | 最大重复数 | ||||||||||||||||
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Transcriptome profiling of soybean (Glycine max) roots challenged with pathogenic and non-pathogenic isolates of Fusarium oxysporum.
Lanubile A, Muppirala UK, Severin AJ, Marocco A, Munkvold GP.
BMC Genomics. 2015-12-21; 16
PMID: 26689712 DOI: 10.1186/s12864-015-2318-2
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Identification of Soybean Proteins and Genes Differentially Regulated in Near Isogenic Lines Differing in Resistance to Aphid Infestation.
Brechenmacher L, Nguyen TH, Zhang N, Jun TH, Xu D, Mian MA, Stacey G.
J Proteome Res. 2015-09-16; 14 (10)
PMID: 26350764 DOI: 10.1021/acs.jproteome.5b00146
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Transcriptome profiling of interaction effects of soybean cyst nematodes and soybean aphids on soybean.
Neupane S, Mathew FM, Varenhorst AJ, Nepal MP.
Sci Data. 2019-07-24; 6 (1)
PMID: 31341170 DOI: 10.1038/s41597-019-0140-4
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Pan-Genome of Wild and Cultivated Soybeans.
Liu Y, Du H, Li P, Shen Y, Peng H, Liu S, Zhou GA, Zhang H, Liu Z, Shi M, Huang X, Li Y, Zhang M, Wang Z, Zhu B, Han B, Liang C, Tian Z.
Cell. 2020-06-17; 182 (1)
PMID: 32553274 DOI: 10.1016/j.cell.2020.05.023
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Genome-wide transcriptome analyses of developing seeds from low and normal phytic acid soybean lines.
Redekar NR, Biyashev RM, Jensen RV, Helm RF, Grabau EA, Maroof MA.
BMC Genomics. 2015-12-18; 16
PMID: 26678836 DOI: 10.1186/s12864-015-2283-9
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Pod-shattering characteristics differences between two groups of soybeans are associated with specific changes in gene expression.
Kang X, Cai J, Chen Y, Yan Y, Yang S, He R, Wang D, Zhu Y.
Funct Integr Genomics. 2019-08-27; 20 (2)
PMID: 31456133 DOI: 10.1007/s10142-019-00702-2
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Seed weight differences between wild and domesticated soybeans are associated with specific changes in gene expression.
Yu C, Qu Z, Zhang Y, Zhang X, Lan T, Adelson DL, Wang D, Zhu Y.
Plant Cell Rep. 2017-06-26; 36 (9)
PMID: 28653111 DOI: 10.1007/s00299-017-2165-5
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Transcriptome profiling of induced susceptibility effects on soybean-soybean aphid (Hemiptera: Aphididae) interaction.
Neupane S, Varenhorst AJ, Nepal MP.
BMC Res Notes. 2019-06-10; 12 (1)
PMID: 31182145 DOI: 10.1186/s13104-019-4372-3
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Genome Wide Transcriptome Analysis Reveals Complex Regulatory Mechanisms Underlying Phosphate Homeostasis in Soybean Nodules.
Xue Y, Zhuang Q, Zhu S, Xiao B, Liang C, Liao H, Tian J.
Int J Mol Sci. 2018-09-26; 19 (10)
PMID: 30261621 DOI: 10.3390/ijms19102924
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Early Transcriptomic Response to Phosphate Deprivation in Soybean Leaves as Revealed by RNA-Sequencing.
Zeng H, Zhang X, Zhang X, Pi E, Xiao L, Zhu Y.
Int J Mol Sci. 2018-07-23; 19 (7)
PMID: 30041471 DOI: 10.3390/ijms19072145
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Identification and characterization of transcript polymorphisms in soybean lines varying in oil composition and content.
Goettel W, Xia E, Upchurch R, Wang ML, Chen P, An YQ.
BMC Genomics. 2014-04-23; 15
PMID: 24755115 DOI: 10.1186/1471-2164-15-299
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Glycerol-3-phosphate mediates rhizobia-induced systemic signaling in soybean.
Shine MB, Gao QM, Chowda-Reddy RV, Singh AK, Kachroo P, Kachroo A.
Nat Commun. 2019-11-22; 10 (1)
PMID: 31757957 DOI: 10.1038/s41467-019-13318-8
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