Gene Expression
Nebulas
Gene Expression Nebulas| Download | Dataset ID | BioProject ID | Project ID | Dataset Name | Species | Strategy | Sample Number | Tissue | Cell Type | Cell Line | Healthy Condition | Development Stage | Case Detail | Control Detail | Cell Number | Biological Condition | Quality and Quantity | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Baseline | Genetic | Phenotypic | Environmental | Spatial | Temporal | RNA Type | Median Mapping Quality | Median Coverage | Max Sequencing Length | Max Replicate# | ||||||||||||||||
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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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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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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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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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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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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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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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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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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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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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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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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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