Leaf_greenhouse
Ontology highlight
ABSTRACT:
ORGANISM(S): Musa acuminata
SUBMITTER: Bert Coemans
PROVIDER: E-GEOD-2811 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Publications
SuperSAGE combined with PCR walking allows global gene expression profiling of banana (Musa acuminata), a non-model organism.
Coemans Bert B Matsumura Hideo H Terauchi Ryohei R Remy Serge S Swennen Rony R Sági László L
TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik 20051011 6
Super-serial analysis of gene expression (SuperSAGE) was used to characterize, for the first time, the global gene expression pattern in banana (Musa acuminata). A total of 10,196 tags were generated from leaf tissue, representing 5,292 expressed genes. Forty-nine tags of the top 100 most abundantly expressed transcripts were annotated by homology to cDNA or EST sequences. Typically for leaf tissue, analysis of the transcript profiles showed that the majority of the abundant transcripts are invo ...[more]
Similar Datasets
Project description:SuperSAGE was applied in the non-model organism banana (Musa acuminata)
2005-06-15 | GSE2811 | GEO
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2007-02-17 | E-GEOD-6103 | biostudies-arrayexpress
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2021-12-12 | GSE163139 | GEO
Project description:We report the first data of RNA sequencing from two different banana cultivars from Musa acuminata cv. Mas Kirana (AA group) genome and Musa balbisiana cv. Klutuk (BB group) genome in response to blood disease infection caused by Ralstonia syzygii subsp. celebesensis (Rsc)
2019-11-18 | GSE138749 | GEO
Project description:'Systems-wide' approaches such as microarray RNA-profiling are ideally suited to the study of the complex, overlapping responses of plants to biotic and abiotic stresses. However, commercial microarrays are only available for a limited number of plant species and development costs are so substantial as to be prohibitive for most research groups. Here, we evaluate the use of cross-hybridisation to Affymetrix oligonucleotide GeneChip microarrays to profile the response of the banana (Musa sp.) leaf transcriptome to drought stress using a genomic DNA (gDNA)-based probe-selection strategy to improve the efficiency of detection of differentially expressed Musa transcripts. GeneChip analyses were performed to profile the response of the banana (Musa sp.) leaf transcriptome to drought stress using a genomic DNA (gDNA)-based probe-selection strategy to improve the efficiency of detection of differentially expressed Musa transcripts.
2009-07-04 | E-GEOD-16865 | biostudies-arrayexpress
Project description:MicroRNAs (miRNAs) have been implicated in regulating multiple processes during brain development in various species. However, the function of miRNAs in human brain development remains largely unexplored. Here, we provide a comprehensive analysis of miRNA expression of regionalized neural progenitor cells derived from human embryonic stem cells and human fetal brain. We found mir-92b-3p and mir-130b-5p to be specifically associated with neural progenitors and several miRNAs that display both age-specific and region-specific expression patterns. Among these miRNAs, we identified miR-10 to be specifically expressed in the human hindbrain and spinal cord, while absent from rostral regions. We found that miR-10 regulates a large number of genes enriched for functions including transcription, actin cytoskeleton and ephrin receptor signaling. When overexpressed, miR-10 influences caudalization of human neural progenitors cells. Together, these data confirms a role for miRNAs in establishing different human neural progenitor populations. This data set also provides a comprehensive resource for future studies investigating the functional role of different miRNAs in human brain development. Human embryonic stem cells (hESCs) were transduced with lentiviral vectors expressing either miR10a-GFP or miR10b-GFP. The expression of the vectors is Tet-regulated and they will only be expressed in the presence of Doxycycline. In order to detect direct targets of the miR10a and miR10b, we differentiated the trasduced hESCs for 14 days, and added doxycycline to only half of the groups - resulting in groups that are overexpressing miR10a or miR10b and some groups that are not overexpressing these miRNAs.
2015-10-26 | E-GEOD-71204 | biostudies-arrayexpress
Project description:Background: Banana (Musa) is one of the most important crops grown in tropical and sub-tropical areas. Cavendish, the most widely grown banana cultivar, is a triploid derived from an intra-species cross. Cavendish is relatively resistant to Race 1 of Fusarium oxysporum f. sp. Cubense (Foc1) which caused wide spread Panama disease during 1960s but is susceptible to Race 4 of Foc (Foc4) which has been causing epidemics in large areas of banana fields in Asia and Australia in the last decade and is threatening world banana production. The genome of the diploid species Musa acuminata (AA) which is the ancestor of a majority of cultivated banana has recently been sequenced. Availability of banana transcriptomes will be highly useful for improving banana genome annotation and assembly and for banana biological research. The knowledge of global gene expression patterns influenced by infection by different Foc races will help to understand the pathogenesis processes and the host responses to the infection. Results: RNA samples extracted from different organs of the Cavendish cultivar were pooled for deep sequencing using the Illumina sequencing technology. The assembled reads were aligned with the genome of M. accuminata and with sequences in the Genbank databases. The analysis led to identification of 842 genes that were not annotated by the Musa genome project. A large number of simple nucleotide polymorphisms (SNPs) and short insertions and deletion (indels) were identified from the transcriptome data. GFP-expressing Foc1 and Foc4 was generated and used to monitor the infection process. Digital gene expression (DGE) profiling analysis was carried out to obtain transcriptome profiles influenced by infection with Foc1 and Foc4 in banana roots at 3, 27, and 51 hours post-inoculation. Both Foc1 and Foc4 were found to be able to invade banana roots and spread to root vascular tissues in the first two days following inoculation. The profiling analysis revealed that inoculation with Foc1 and Foc4 caused similar changes in the gene expression profiles in the infected banana roots. The Foc infection led to induction of many well-known defense-related genes including PATHOGENESIS-RELATED 5 (PR5), PAL, and a lignin-forming peroxidase. The WRKY40 gene, which is a negative regulator of the defense pathway in Arabidopsis, was quickly and strongly suppressed by the infection. Two genes encoding the ethylene biosynthetic enzyme ACC oxidase and several ethylene-responsive transcription factors were among strongly induced genes by both Foc1 and Foc4 Conclusions: Both Foc1 and Foc4 are able to spread into the vascular system of banana roots during the first two days of the infection process and their infection led to similar gene expression profiles in banana roots. The transcriptome profiling analysis indicates that the ethylene synthetic and signalling pathways were activated in response to the Foc infection. Digital gene expression (DGE) profiling analysis was carried out to obtain transcriptome profiles influenced by infection with Foc1 and Foc4 in banana roots at 3, 27, and 51 hours post-inoculation. The plants whose roots were immersed in the culture medium without the pathogen (mock inoculation) were used as a control.
2013-09-01 | E-GEOD-48563 | biostudies-arrayexpress
Project description:Background: Banana (Musa) is one of the most important crops grown in tropical and sub-tropical areas. Cavendish, the most widely grown banana cultivar, is a triploid derived from an intra-species cross. Cavendish is relatively resistant to Race 1 of Fusarium oxysporum f. sp. Cubense (Foc1) which caused wide spread Panama disease during 1960s but is susceptible to Race 4 of Foc (Foc4) which has been causing epidemics in large areas of banana fields in Asia and Australia in the last decade and is threatening world banana production. The genome of the diploid species Musa acuminata (AA) which is the ancestor of a majority of cultivated banana has recently been sequenced. Availability of banana transcriptomes will be highly useful for improving banana genome annotation and assembly and for banana biological research. The knowledge of global gene expression patterns influenced by infection by different Foc races will help to understand the pathogenesis processes and the host responses to the infection. Results: RNA samples extracted from different organs of the Cavendish cultivar were pooled for deep sequencing using the Illumina sequencing technology. The assembled reads were aligned with the genome of M. accuminata and with sequences in the Genbank databases. The analysis led to identification of 842 genes that were not annotated by the Musa genome project. A large number of simple nucleotide polymorphisms (SNPs) and short insertions and deletion (indels) were identified from the transcriptome data. GFP-expressing Foc1 and Foc4 was generated and used to monitor the infection process. Digital gene expression (DGE) profiling analysis was carried out to obtain transcriptome profiles influenced by infection with Foc1 and Foc4 in banana roots at 3, 27, and 51 hours post-inoculation. Both Foc1 and Foc4 were found to be able to invade banana roots and spread to root vascular tissues in the first two days following inoculation. The profiling analysis revealed that inoculation with Foc1 and Foc4 caused similar changes in the gene expression profiles in the infected banana roots. The Foc infection led to induction of many well-known defense-related genes including PATHOGENESIS-RELATED 5 (PR5), PAL, and a lignin-forming peroxidase. The WRKY40 gene, which is a negative regulator of the defense pathway in Arabidopsis, was quickly and strongly suppressed by the infection. Two genes encoding the ethylene biosynthetic enzyme ACC oxidase and several ethylene-responsive transcription factors were among strongly induced genes by both Foc1 and Foc4 Conclusions: Both Foc1 and Foc4 are able to spread into the vascular system of banana roots during the first two days of the infection process and their infection led to similar gene expression profiles in banana roots. The transcriptome profiling analysis indicates that the ethylene synthetic and signalling pathways were activated in response to the Foc infection.
2013-09-01 | GSE48563 | GEO
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Project description:To find out the binding partners of EhRacM, crosslinking and coimmunoprecipitation were performed. Then, eluted samples were submitted to Mass Spectrometry and Proteomics Core Facility, Johns Hopkins University School of Medicine and analyzed by mass spctrometry (shotgun proteomics). The coimmunoprecipitation and following analysis were conducted three times.You can find the data of HA-EhRacM (1st) from "2022_7_32_54_PM_FileSize_500998639_Byte_F010303.mzid.gz", "2022_7_32_54_PM_FileSize_500998639_Byte_F010303.mzid_2022_7_32_54_PM_File_Size__500998639__Byte__F010303.MGF", "RO-CS-LE_220912_NozakiT_MS_Rac16_WT.mzML", and "RO-CS-LE_220912_NozakiT_MS_Rac16_WT.RAW". You can find the data of pEhExHA (mock) (1st) from "2022_5_02_01_AM_FileSize_662636563_Byte_F010297.mzid.gz", "2022_5_02_01_AM_FileSize_662636563_Byte_F010297.mzid_2022_5_02_01_AM_File_Size__662636563__Byte__F010297.MGF", "RO-CS-LE_220912_NozakiT_MS_pEhExHA.mzML", and "RO-CS-LE_220912_NozakiT_MS_pEhExHA.RAW".You can find the data of HA-EhRacM (2nd) from "2022_7_35_46_AM_FileSize_794949236_Byte_F009769.mzid.gz", "2022_7_35_46_AM_FileSize_794949236_Byte_F009769.mzid_2022_7_35_46_AM_File_Size__794949236__Byte__F009769.MGF", "JS-QE-CS_221108_NozakiT_MS_S1_RA.msf", "JS-QE-CS_221108_NozakiT_MS_S1_RA.RAW", "JS-QE-CS_221108_NozakiT_MS_S1_RA.mzML". You can find the data of pEhExHA (mock) (2nd) from "2022_2_58_28_AM_FileSize_846222756_Byte_F009771.mzid.gz", "2022_2_58_28_AM_FileSize_846222756_Byte_F009771.mzid_2022_2_58_28_AM_File_Size__846222756__Byte__F009771.MGF", "JS-QE-CS_221108_NozakiT_MS_S4_RA.msf", "JS-QE-CS_221108_NozakiT_MS_S4_RA.RAW", and "JS-QE-CS_221108_NozakiT_MS_S4_RA.mzML". You can find the data of HA-EhRacM (3rd) from "2023_12_15_11_AM_FileSize_1380630557_Byte_F012916.mzid.gz", "2023_12_15_11_AM_FileSize_1380630557_Byte_F012916.mzid_2023_12_15_11_AM_File_Size__1380630557__Byte__F012916.MGF", "JS-E480-CS_230518_NozakiT_MS_S1_DDA_10pct.msf", "JS-E480-CS_230518_NozakiT_MS_S1_DDA_10pct.mzML", and "JS-E480-CS_230518_NozakiT_MS_S1_DDA_10pct.RAW". You can find the data of pEhExHA (mock) (3rd) from "2023_6_35_51_PM_FileSize_1732075728_Byte_F012915.mzid.gz", "2023_6_35_51_PM_FileSize_1732075728_Byte_F012915.mzid_2023_6_35_51_PM_File_Size__1732075728__Byte__F012915.MGF", "JS-E480-CS_230518_NozakiT_MS_S4_DDA_10pct.msf", "JS-E480-CS_230518_NozakiT_MS_S4_DDA_10pct.mzML", and "JS-E480-CS_230518_NozakiT_MS_S4_DDA_10pct.RAW".
2024-06-20 | PXD042282 | Pride