5 datasets found
  1. f

    Identification of Putative Biomarkers for the Early Stage of Porcine...

    • figshare.com
    docx
    Updated May 31, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Won-Young Lee; Jeong Tae Do; Chankyu Park; Jin Hoi Kim; Hak-Jae Chung; Kyung-Woon Kim; Chang-Hyun Gil; Nam-Hyung Kim; Hyuk Song (2023). Identification of Putative Biomarkers for the Early Stage of Porcine Spermatogonial Stem Cells Using Next-Generation Sequencing [Dataset]. http://doi.org/10.1371/journal.pone.0147298
    Explore at:
    docxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Won-Young Lee; Jeong Tae Do; Chankyu Park; Jin Hoi Kim; Hak-Jae Chung; Kyung-Woon Kim; Chang-Hyun Gil; Nam-Hyung Kim; Hyuk Song
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    To identify putative biomarkers of porcine spermatogonial stem cells (pSSCs), total RNA sequencing (RNA-seq) analysis was performed on 5- and 180-day-old porcine testes and on pSSC colonies that were established under low temperature culture conditions as reported previously. In total, 10,184 genes were selected using Cufflink software, followed by a logarithm and quantile normalization of the pairwise scatter plot. The correlation rates of pSSCs compared to 5- and 180-day-old testes were 0.869 and 0.529, respectively and that between 5- and 180-day-old testes was 0.580. Hierarchical clustering data revealed that gene expression patterns of pSSCs were similar to 5-day-old testis. By applying a differential expression filter of four fold or greater, 607 genes were identified between pSSCs and 5-day-old testis, and 2118 genes were identified between the 5- and 180-day-old testes. Among these differentially expressed genes, 293 genes were upregulated and 314 genes were downregulated in the 5-day-old testis compared to pSSCs, and 1106 genes were upregulated and 1012 genes were downregulated in the 180-day-old testis compared to the 5-day-old testis. The following genes upregulated in pSSCs compared to 5-day-old testes were selected for additional analysis: matrix metallopeptidase 9 (MMP9), matrix metallopeptidase 1 (MMP1), glutathione peroxidase 1 (GPX1), chemokine receptor 1 (CCR1), insulin-like growth factor binding protein 3 (IGFBP3), CD14, CD209, and Kruppel-like factor 9 (KLF9). Expression levels of these genes were evaluated in pSSCs and in 5- and 180-day-old porcine testes. In addition, immunohistochemistry analysis confirmed their germ cell-specific expression in 5- and 180-day-old testes. These finding may not only be useful in facilitating the enrichment and sorting of porcine spermatogonia, but may also be useful in the study of the early stages of spermatogenic meiosis.

  2. d

    Data from: Trade-offs between growth rate, tree size and lifespan of...

    • datadryad.org
    • data.niaid.nih.gov
    • +2more
    zip
    Updated May 26, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Christof Bigler (2016). Trade-offs between growth rate, tree size and lifespan of mountain pine (Pinus montana) in the Swiss National Park [Dataset]. http://doi.org/10.5061/dryad.d2680
    Explore at:
    zipAvailable download formats
    Dataset updated
    May 26, 2016
    Dataset provided by
    Dryad
    Authors
    Christof Bigler
    Time period covered
    2016
    Area covered
    canton of Grisons, Switzerland, Swiss National Park
    Description

    A within-species trade-off between growth rates and lifespan has been observed across different taxa of trees, however, there is some uncertainty whether this trade-off also applies to shade-intolerant tree species. The main objective of this study was to investigate the relationships between radial growth, tree size and lifespan of shade-intolerant mountain pines. For 200 dead standing mountain pines (Pinus montana) located along gradients of aspect, slope steepness and elevation in the Swiss National Park, radial annual growth rates and lifespan were reconstructed. While early growth (i.e. mean tree-ring width over the first 50 years) correlated positively with diameter at the time of tree death, a negative correlation resulted with lifespan, i.e. rapidly growing mountain pines face a trade-off between reaching a large diameter at the cost of early tree death. Slowly growing mountain pines may reach a large diameter and a long lifespan, but risk to die young at a small size. Early gro...

  3. f

    Scatter Plots from Orientation-invariance of individual differences in three...

    • rs.figshare.com
    xlsx
    Updated May 31, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    G. Meinhardt; B. Meinhardt-Injac; M. Persike (2023). Scatter Plots from Orientation-invariance of individual differences in three face processing tasks [Dataset]. http://doi.org/10.6084/m9.figshare.7461518.v1
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    The Royal Society
    Authors
    G. Meinhardt; B. Meinhardt-Injac; M. Persike
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Scatter plots of all pairwise combinations of test conditions

  4. d

    Data from: Graph Theory for Analyzing Pair-wise Data: Application to...

    • catalog.data.gov
    • gdr.openei.org
    • +3more
    Updated Jan 20, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    University of Wisconsin (2025). Graph Theory for Analyzing Pair-wise Data: Application to Interferometric Synthetic Aperture Radar Data [Dataset]. https://catalog.data.gov/dataset/graph-theory-for-analyzing-pair-wise-data-application-to-interferometric-synthetic-apertur-ad16d
    Explore at:
    Dataset updated
    Jan 20, 2025
    Dataset provided by
    University of Wisconsin
    Description

    Graph theory is useful for estimating time-dependent model parameters via weighted least-squares using interferometric synthetic aperture radar (InSAR) data. Plotting acquisition dates (epochs) as vertices and pair-wise interferometric combinations as edges defines an incidence graph. The edge-vertex incidence matrix and the normalized edge Laplacian matrix are factors in the covariance matrix for the pair-wise data. Using empirical measures of residual scatter in the pair-wise observations, we estimate the variance at each epoch by inverting the covariance of the pair-wise data. We evaluate the rank deficiency of the corresponding least-squares problem via the edge-vertex incidence matrix. We implement our method in a MATLAB software package called GraphTreeTA available on GitHub (https://github.com/feigl/gipht). We apply temporal adjustment to the data set described in Lu et al. (2005) at Okmok volcano, Alaska, which erupted most recently in 1997 and 2008. The data set contains 44 differential volumetric changes and uncertainties estimated from interferograms between 1997 and 2004. Estimates show that approximately half of the magma volume lost during the 1997 eruption was recovered by the summer of 2003. Between June 2002 and September 2003, the estimated rate of volumetric increase is (6.2 +/- 0.6) x 10^6 m^3/yr. Our preferred model provides a reasonable fit that is compatible with viscoelastic relaxation in the five years following the 1997 eruption. Although we demonstrate the approach using volumetric rates of change, our formulation in terms of incidence graphs applies to any quantity derived from pair-wise differences, such as wrapped phase or wrapped residuals. Date of final oral examination: 05/19/2016 This thesis is approved by the following members of the Final Oral Committee: Kurt L. Feigl, Professor, Geoscience Michael Cardiff, Assistant Professor, Geoscience Clifford H. Thurber, Vilas Distinguished Professor, Geoscience

  5. f

    Supplemental Material for Peñaloza et al., 2020

    • gsajournals.figshare.com
    docx
    Updated May 31, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Carolina Penaloza; Diego Robledo; Agustin Barría; Trọng Quốc Trịnh; Mahirah Mahmuddin; Pamela Wiener; John A. H. Benzie; Ross D. Houston (2023). Supplemental Material for Peñaloza et al., 2020 [Dataset]. http://doi.org/10.25387/g3.12472121.v2
    Explore at:
    docxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    GSA Journals
    Authors
    Carolina Penaloza; Diego Robledo; Agustin Barría; Trọng Quốc Trịnh; Mahirah Mahmuddin; Pamela Wiener; John A. H. Benzie; Ross D. Houston
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Figure S1 - Distribution of SNPs of the 65K SNP array on the Nile tilapia genome. Figure S2 - Pairwise scatter plots of the first six principal components from the PCA of the genome-wide SNP data obtained from the 65K SNP array. Figure 3 - Fraction of the variance accounted for by the first 40 PCs.Table S1 - Details of the seven previously identified sex-associated markers included on the 65K Nile tilapia SNP array.File S1 - Genome position and probes for all SNPs included on the 65K SNP array.

  6. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Won-Young Lee; Jeong Tae Do; Chankyu Park; Jin Hoi Kim; Hak-Jae Chung; Kyung-Woon Kim; Chang-Hyun Gil; Nam-Hyung Kim; Hyuk Song (2023). Identification of Putative Biomarkers for the Early Stage of Porcine Spermatogonial Stem Cells Using Next-Generation Sequencing [Dataset]. http://doi.org/10.1371/journal.pone.0147298

Identification of Putative Biomarkers for the Early Stage of Porcine Spermatogonial Stem Cells Using Next-Generation Sequencing

Explore at:
4 scholarly articles cite this dataset (View in Google Scholar)
docxAvailable download formats
Dataset updated
May 31, 2023
Dataset provided by
PLOS ONE
Authors
Won-Young Lee; Jeong Tae Do; Chankyu Park; Jin Hoi Kim; Hak-Jae Chung; Kyung-Woon Kim; Chang-Hyun Gil; Nam-Hyung Kim; Hyuk Song
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

To identify putative biomarkers of porcine spermatogonial stem cells (pSSCs), total RNA sequencing (RNA-seq) analysis was performed on 5- and 180-day-old porcine testes and on pSSC colonies that were established under low temperature culture conditions as reported previously. In total, 10,184 genes were selected using Cufflink software, followed by a logarithm and quantile normalization of the pairwise scatter plot. The correlation rates of pSSCs compared to 5- and 180-day-old testes were 0.869 and 0.529, respectively and that between 5- and 180-day-old testes was 0.580. Hierarchical clustering data revealed that gene expression patterns of pSSCs were similar to 5-day-old testis. By applying a differential expression filter of four fold or greater, 607 genes were identified between pSSCs and 5-day-old testis, and 2118 genes were identified between the 5- and 180-day-old testes. Among these differentially expressed genes, 293 genes were upregulated and 314 genes were downregulated in the 5-day-old testis compared to pSSCs, and 1106 genes were upregulated and 1012 genes were downregulated in the 180-day-old testis compared to the 5-day-old testis. The following genes upregulated in pSSCs compared to 5-day-old testes were selected for additional analysis: matrix metallopeptidase 9 (MMP9), matrix metallopeptidase 1 (MMP1), glutathione peroxidase 1 (GPX1), chemokine receptor 1 (CCR1), insulin-like growth factor binding protein 3 (IGFBP3), CD14, CD209, and Kruppel-like factor 9 (KLF9). Expression levels of these genes were evaluated in pSSCs and in 5- and 180-day-old porcine testes. In addition, immunohistochemistry analysis confirmed their germ cell-specific expression in 5- and 180-day-old testes. These finding may not only be useful in facilitating the enrichment and sorting of porcine spermatogonia, but may also be useful in the study of the early stages of spermatogenic meiosis.

Search
Clear search
Close search
Google apps
Main menu