Transcriptional Profiles associated with the difference in fiber yield
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PROVIDER: PRJNA486784 | ENA |
REPOSITORIES: ENA
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Project description:Cotton fiber is actually unicellular trichome, therefor its length is really hard to be modified but very meaningful to fiber quality and yield. We have reported the function of the second RRM domain of Oryza sativa FCA in rice cell size regulation. Data shows it is highly conserved across dicotyledonous and monocotyledonous plants. Here we provide evidence showing that the second RRM domain of Brassica napus FCA worked in Gossypium hirsutum, leading to the enlargement of multiple types of cells, such as pollen, cotyledon petiole and cotton fiber. In the transgenic cotton, the length of unicellular cotton fiber increased by about 10% and fiber yield per plant also showed a dramatic increase, ranging from 35% to 66%, over the control. Thus, this RRM domain may be an ancient and common cell size regulator and has great economic value on cotton industry.
2011-12-31 | GSE26445 | GEO
Project description:Sea-island cotton (Gossypium barbadense L.) has superior fiber quality properties such as length, fineness and strength, while Upland cotton (Gossypium hirsutum L.) is characterized by high yield. To reveal features of Upland cotton and Sea-island cotton fiber cells, differential genes expression profiles during fiber cell elongation and in secondary wall deposits were established using cDNA microarray technology. This research provides a valuable genomic resource to deepen our understanding of the molecular mechanisms of cotton fiber development, and may ultimately lead to improvements in cotton fiber quality and yield.
2012-05-24 | GSE18028 | GEO
Project description:Isolated fiber-type transcriptional profiles in human skeletal muscle
| PRJNA542159 | ENA
Project description:Cotton fiber is actually unicellular trichome, therefor its length is really hard to be modified but very meaningful to fiber quality and yield. We have reported the function of the second RRM domain of Oryza sativa FCA in rice cell size regulation. Data shows it is highly conserved across dicotyledonous and monocotyledonous plants. Here we provide evidence showing that the second RRM domain of Brassica napus FCA worked in Gossypium hirsutum, leading to the enlargement of multiple types of cells, such as pollen, cotyledon petiole and cotton fiber. In the transgenic cotton, the length of unicellular cotton fiber increased by about 10% and fiber yield per plant also showed a dramatic increase, ranging from 35% to 66%, over the control. Thus, this RRM domain may be an ancient and common cell size regulator and has great economic value on cotton industry. FCA encodes a strong promoter of the transition to flowering in Arabidopsis thaliana, which contains two RRM (RNA recognition motif) domain and a WW protein interaction domain (Macknight et al., 1997). We have previously found that cell size and yield of rice (Oryza sativa) can be increased by ectopic expression of the first RRM domain of OsFCA (Hong et al., 2007). The second RRM domain of OsFCA can also increase cell size (Attia et al., 2005), suggesting OsFCA-RRMs each play a role in homeostatic cell size regulation. We designate them as Oryza sativa cell size RRM 1 (Os-csRRM1) and Oryza sativa cell size RRM 2 (Os-csRRM2), respectively. Both of them exhibit a high degree of evolutionary conservation in plant. For Os-csRRM2, significant homology was observed in Triticum aestivum (90% identity), Hordeum vulgare (90% identity), Lolium perenne (82% identity), Zea mays (81% identity),Ricinus communis (76% identity), Vitis vinifera (68% identity), Arabidopsis thaliana (68% identity) and Brassica napus (64% identity) (Fig. 1). The high degree of conservation suggests that this RRM domain might have similar function in different plants. Indeed, we observed that overexpression of Bn-csRRM2 also increased the cell size of B. napus (unpublished data). As cotton fiber length is a key factor in cotton yield and quality, we investigated whether this attribute could be enhanced by constitutive expression of Bn-csRRM2. Transgenic and wild-type cotton were grown in same condition. The leaves of 25 day and 45 day plants were harvested for microarray analysis. RNA samples were isolated from 3 biological replications using TRIzol (Invitrogen) as described by the manufacturer. Microarray analyses were carried out using Agilent Cotton Gene Expression Microarray (G2519F-022523). Microarrays were scanned on Agilent Technologies Scanner G2505C and data points were extracted using Agilent Feature Extraction software (Version 10.7.1.1). Comparisons were made between transgenic samples and their corresponding wild-type samples.
2011-12-31 | E-GEOD-26445 | biostudies-arrayexpress
Project description:Skeletal muscle is a complex heterogeneous tissue comprised of diverse muscle fiber and non-fiber cell types that, in addition to movement, influences other systems such as immunity, metabolism and cognition. We investigated gene expression patterns of resident human skeletal muscle cells using both single-cell RNA-seq and RNA-seq of single muscle fiber dissections from vastus lateralis. We generated transcriptome profiles of the major multinucleated human skeletal muscle fiber-types as well as 11 human skeletal muscle mononuclear cell types, including immune, endothelial, pericyte and satellite cells. We delineated two fibro-adipogenic progenitor cell subtypes that may contribute to heterotopic ossification and muscular dystrophy fibrosis under pathological conditions. An important application of cell type signatures is for computational deconvolution of cell type specific gene expression changes using data from bulk transcriptome experiments. Analysis of transcriptome data from a 12 week resistance exercise training study using these human skeletal muscle cell-type signatures revealed significant changes in specific mononuclear cell-type proportions related to age, sex, acute exercise and training. This characterization of human skeletal muscle cell types will resolve cell-type specific changes in large-scale physical activity muscle transcriptome studies and can further the understanding of the diverse effects of exercise and the pathophysiology of muscle disease.
2020-02-01 | GSE130977 | GEO
Project description:Sea-island cotton (Gossypium barbadense L.) has superior fiber quality properties such as length, fineness and strength, while Upland cotton (Gossypium hirsutum L.) is characterized by high yield. To reveal features of Upland cotton and Sea-island cotton fiber cells, differential genes expression profiles during fiber cell elongation and in secondary wall deposits were established using cDNA microarray technology. This research provides a valuable genomic resource to deepen our understanding of the molecular mechanisms of cotton fiber development, and may ultimately lead to improvements in cotton fiber quality and yield. 15 samples were prepared for microarray slides hybridized with three biological replicate samples including a swap-dye experiment for each growth stage. Each spot had a repeat in the microarray slideM-oM-<M-^Ltherefore, data for six replicate experiments performed with biologically independent samples.
2012-05-23 | E-GEOD-18028 | biostudies-arrayexpress
Project description:Fiber cell initiation and development affect cotton fiber yield and quality. Cotton fiber develops from the ovular epidermis of a seed, and approximately 25-30% of protodermal cells in each cotton ovule develop into fiber. However, the molecular basis for fiber cell development remains elusive. Here, we analyzed single-cell RNA-seq (scRNA-seq) data from over 40,000 cells during early stages of fiber cell development in Upland and Pima cotton and in a naked seed mutant. We found concerted expression changes of 900-1,700 genes in fiber-cell clusters involving gene expression, translation, and peptide biosynthesis, which were substantially delayed or absent in the mutant. Expression of ∼500 and ∼300 genes in Upland and Pima cotton, respectively, was distinguishably different and consistent with overrepresentation of the genes in transcriptional and translational regulation, implying their roles in fiber yield and quality traits. Gene co-expression network analysis (GCNA) of scRNA-seq and scATAC-seq data revealed two modules of fiber gene co-expression networks. One module of the fiber co-expressed genes was associated with elevated chromatin accessibility for transcriptional regulation, whereas the other module of the genes was related to translational regulation and ribosome biogenesis. Indeed, expression of cotton putative translation factor genes was elevated in fiber cell clusters in both Upland and Pima cotton. Finally, cotton transgenic plants expressing promoter::GFP confirmed expression patterns of fiber-expressed GhRDL2_D5 during fiber cell initiation. These single-cell genomic resources provide insights into fiber cell development for breeding and biotechnological improvement of fiber yield and quality in Upland and Pima cotton.
2025-12-02 | GSE282999 | GEO
Project description:Skeletal muscle is a heterogeneous tissue consisting of blood vessels, connective tissue, and muscle fibers. The last are highly adaptive and can change their molecular composition depending on external and internal factors, such as exercise, age, and disease. Thus, examination of the skeletal muscles at the fiber type level is essential to detect potential alterations. Therefore, we established a protocol in which myosin heavy chain isoform immunolabeled muscle fibers were laser microdissected and separately investigated by mass spectrometry to develop advanced proteomic profiles of all murine skeletal muscle fiber types. Our in-depth mass spectrometric analysis revealed unique fiber type protein profiles, confirming fiber type-specific metabolic properties and revealing a more versatile function of type IIx fibers. Furthermore, we found that multiple myopathy-associated proteins were enriched in type I and IIa fibers. To further optimize the assignment of fiber types based on the protein profile, we developed a hypothesis-free machine-learning approach (available at: https://github.com/mpc-bioinformatics/FiPSPi), identified a discriminative peptide panel, and confirmed our panel using a public data set.
2021-06-07 | PXD025359 | Pride