Ureter Disease

14,000,000 Leading Edge Experts on the ideXlab platform

Scan Science and Technology

Contact Leading Edge Experts & Companies

Scan Science and Technology

Contact Leading Edge Experts & Companies

The Experts below are selected from a list of 2724 Experts worldwide ranked by ideXlab platform

Tadashi Yamamoto - One of the best experts on this subject based on the ideXlab platform.

  • Comprehensive data analysis of human Ureter proteome.
    Data in brief, 2016
    Co-Authors: Sameh Magdeldin, Yoshitoshi Hirao, Amr El Guoshy, Ying Zhang, Hidehiko Fujinaka, Keiko Yamamoto, John R. Yates, Tadashi Yamamoto
    Abstract:

    Comprehensive human Ureter proteome dataset was generated from OFFGel fractionated Ureter samples. Our result showed that among 2217 non-redundant Ureter proteins, 751 protein candidates (33.8%) were detected in urine as urinary protein/polypeptide or exosomal protein. On the other hand, comparing Ureter protein hits (48) that are not shown in corresponding databases to urinary bladder and prostate human protein atlas databases pinpointed 21 proteins that might be unique to Ureter tissue. In conclusion, this finding offers future perspectives for possible identification of Ureter Disease-associated biomarkers such as Ureter carcinoma. In addition, Cytoscape GO annotation was examined on the final Ureter dataset to better understand proteins molecular function, biological processes, and cellular component. The Ureter proteomic dataset published in this article will provide a valuable resource for researchers working in the field of urology and urine biomarker discovery.

  • A proteomic glimpse into human Ureter proteome.
    Proteomics, 2015
    Co-Authors: Sameh Magdeldin, Yoshitoshi Hirao, Ying Zhang, Hidehiko Fujinaka, Keiko Yamamoto, John R. Yates, Amr Elguoshy, Tadashi Yamamoto
    Abstract:

    Urine has evolved as one of the most important biofluids in clinical proteomics due to its noninvasive sampling and its stability. Yet, it is used in clinical diagnostics of several disorders by detecting changes in its components including urinary protein/polypeptide profile. Despite the fact that majority of proteins detected in urine are primarily originated from the urogenital (UG) tract, determining its precise source within the UG tract remains elusive. In this article, we performed a comprehensive analysis of Ureter proteome to assemble the first unbiased Ureter dataset. Next, we compared these data to urine, urinary exosome, and kidney mass spectrometric datasets. Our result concluded that among 2217 nonredundant Ureter proteins, 751 protein candidates (33.8%) were detected in urine as urinary protein/polypeptide or exosomal protein. On the other hand, comparing Ureter protein hits (48) that are not shown in corresponding databases to urinary bladder and prostate human protein atlas databases pinpointed 21 proteins that might be unique to Ureter tissue. In conclusion, this finding offers future perspectives for possible identification of Ureter Disease-associated biomarkers such as Ureter carcinoma. In addition, the Ureter proteomic dataset published in this article will provide a valuable resource for researchers working in the field of urology and urine biomarker discovery. All MS data have been deposited in the ProteomeXchange with identifier PXD002620 (http://proteomecentral.proteomexchange.org/dataset/PXD002620).

Sameh Magdeldin - One of the best experts on this subject based on the ideXlab platform.

  • Comprehensive data analysis of human Ureter proteome.
    Data in brief, 2016
    Co-Authors: Sameh Magdeldin, Yoshitoshi Hirao, Amr El Guoshy, Ying Zhang, Hidehiko Fujinaka, Keiko Yamamoto, John R. Yates, Tadashi Yamamoto
    Abstract:

    Comprehensive human Ureter proteome dataset was generated from OFFGel fractionated Ureter samples. Our result showed that among 2217 non-redundant Ureter proteins, 751 protein candidates (33.8%) were detected in urine as urinary protein/polypeptide or exosomal protein. On the other hand, comparing Ureter protein hits (48) that are not shown in corresponding databases to urinary bladder and prostate human protein atlas databases pinpointed 21 proteins that might be unique to Ureter tissue. In conclusion, this finding offers future perspectives for possible identification of Ureter Disease-associated biomarkers such as Ureter carcinoma. In addition, Cytoscape GO annotation was examined on the final Ureter dataset to better understand proteins molecular function, biological processes, and cellular component. The Ureter proteomic dataset published in this article will provide a valuable resource for researchers working in the field of urology and urine biomarker discovery.

  • A proteomic glimpse into human Ureter proteome.
    Proteomics, 2015
    Co-Authors: Sameh Magdeldin, Yoshitoshi Hirao, Ying Zhang, Hidehiko Fujinaka, Keiko Yamamoto, John R. Yates, Amr Elguoshy, Tadashi Yamamoto
    Abstract:

    Urine has evolved as one of the most important biofluids in clinical proteomics due to its noninvasive sampling and its stability. Yet, it is used in clinical diagnostics of several disorders by detecting changes in its components including urinary protein/polypeptide profile. Despite the fact that majority of proteins detected in urine are primarily originated from the urogenital (UG) tract, determining its precise source within the UG tract remains elusive. In this article, we performed a comprehensive analysis of Ureter proteome to assemble the first unbiased Ureter dataset. Next, we compared these data to urine, urinary exosome, and kidney mass spectrometric datasets. Our result concluded that among 2217 nonredundant Ureter proteins, 751 protein candidates (33.8%) were detected in urine as urinary protein/polypeptide or exosomal protein. On the other hand, comparing Ureter protein hits (48) that are not shown in corresponding databases to urinary bladder and prostate human protein atlas databases pinpointed 21 proteins that might be unique to Ureter tissue. In conclusion, this finding offers future perspectives for possible identification of Ureter Disease-associated biomarkers such as Ureter carcinoma. In addition, the Ureter proteomic dataset published in this article will provide a valuable resource for researchers working in the field of urology and urine biomarker discovery. All MS data have been deposited in the ProteomeXchange with identifier PXD002620 (http://proteomecentral.proteomexchange.org/dataset/PXD002620).

Yoshitoshi Hirao - One of the best experts on this subject based on the ideXlab platform.

  • Comprehensive data analysis of human Ureter proteome.
    Data in brief, 2016
    Co-Authors: Sameh Magdeldin, Yoshitoshi Hirao, Amr El Guoshy, Ying Zhang, Hidehiko Fujinaka, Keiko Yamamoto, John R. Yates, Tadashi Yamamoto
    Abstract:

    Comprehensive human Ureter proteome dataset was generated from OFFGel fractionated Ureter samples. Our result showed that among 2217 non-redundant Ureter proteins, 751 protein candidates (33.8%) were detected in urine as urinary protein/polypeptide or exosomal protein. On the other hand, comparing Ureter protein hits (48) that are not shown in corresponding databases to urinary bladder and prostate human protein atlas databases pinpointed 21 proteins that might be unique to Ureter tissue. In conclusion, this finding offers future perspectives for possible identification of Ureter Disease-associated biomarkers such as Ureter carcinoma. In addition, Cytoscape GO annotation was examined on the final Ureter dataset to better understand proteins molecular function, biological processes, and cellular component. The Ureter proteomic dataset published in this article will provide a valuable resource for researchers working in the field of urology and urine biomarker discovery.

  • A proteomic glimpse into human Ureter proteome.
    Proteomics, 2015
    Co-Authors: Sameh Magdeldin, Yoshitoshi Hirao, Ying Zhang, Hidehiko Fujinaka, Keiko Yamamoto, John R. Yates, Amr Elguoshy, Tadashi Yamamoto
    Abstract:

    Urine has evolved as one of the most important biofluids in clinical proteomics due to its noninvasive sampling and its stability. Yet, it is used in clinical diagnostics of several disorders by detecting changes in its components including urinary protein/polypeptide profile. Despite the fact that majority of proteins detected in urine are primarily originated from the urogenital (UG) tract, determining its precise source within the UG tract remains elusive. In this article, we performed a comprehensive analysis of Ureter proteome to assemble the first unbiased Ureter dataset. Next, we compared these data to urine, urinary exosome, and kidney mass spectrometric datasets. Our result concluded that among 2217 nonredundant Ureter proteins, 751 protein candidates (33.8%) were detected in urine as urinary protein/polypeptide or exosomal protein. On the other hand, comparing Ureter protein hits (48) that are not shown in corresponding databases to urinary bladder and prostate human protein atlas databases pinpointed 21 proteins that might be unique to Ureter tissue. In conclusion, this finding offers future perspectives for possible identification of Ureter Disease-associated biomarkers such as Ureter carcinoma. In addition, the Ureter proteomic dataset published in this article will provide a valuable resource for researchers working in the field of urology and urine biomarker discovery. All MS data have been deposited in the ProteomeXchange with identifier PXD002620 (http://proteomecentral.proteomexchange.org/dataset/PXD002620).

Ying Zhang - One of the best experts on this subject based on the ideXlab platform.

  • Comprehensive data analysis of human Ureter proteome.
    Data in brief, 2016
    Co-Authors: Sameh Magdeldin, Yoshitoshi Hirao, Amr El Guoshy, Ying Zhang, Hidehiko Fujinaka, Keiko Yamamoto, John R. Yates, Tadashi Yamamoto
    Abstract:

    Comprehensive human Ureter proteome dataset was generated from OFFGel fractionated Ureter samples. Our result showed that among 2217 non-redundant Ureter proteins, 751 protein candidates (33.8%) were detected in urine as urinary protein/polypeptide or exosomal protein. On the other hand, comparing Ureter protein hits (48) that are not shown in corresponding databases to urinary bladder and prostate human protein atlas databases pinpointed 21 proteins that might be unique to Ureter tissue. In conclusion, this finding offers future perspectives for possible identification of Ureter Disease-associated biomarkers such as Ureter carcinoma. In addition, Cytoscape GO annotation was examined on the final Ureter dataset to better understand proteins molecular function, biological processes, and cellular component. The Ureter proteomic dataset published in this article will provide a valuable resource for researchers working in the field of urology and urine biomarker discovery.

  • A proteomic glimpse into human Ureter proteome.
    Proteomics, 2015
    Co-Authors: Sameh Magdeldin, Yoshitoshi Hirao, Ying Zhang, Hidehiko Fujinaka, Keiko Yamamoto, John R. Yates, Amr Elguoshy, Tadashi Yamamoto
    Abstract:

    Urine has evolved as one of the most important biofluids in clinical proteomics due to its noninvasive sampling and its stability. Yet, it is used in clinical diagnostics of several disorders by detecting changes in its components including urinary protein/polypeptide profile. Despite the fact that majority of proteins detected in urine are primarily originated from the urogenital (UG) tract, determining its precise source within the UG tract remains elusive. In this article, we performed a comprehensive analysis of Ureter proteome to assemble the first unbiased Ureter dataset. Next, we compared these data to urine, urinary exosome, and kidney mass spectrometric datasets. Our result concluded that among 2217 nonredundant Ureter proteins, 751 protein candidates (33.8%) were detected in urine as urinary protein/polypeptide or exosomal protein. On the other hand, comparing Ureter protein hits (48) that are not shown in corresponding databases to urinary bladder and prostate human protein atlas databases pinpointed 21 proteins that might be unique to Ureter tissue. In conclusion, this finding offers future perspectives for possible identification of Ureter Disease-associated biomarkers such as Ureter carcinoma. In addition, the Ureter proteomic dataset published in this article will provide a valuable resource for researchers working in the field of urology and urine biomarker discovery. All MS data have been deposited in the ProteomeXchange with identifier PXD002620 (http://proteomecentral.proteomexchange.org/dataset/PXD002620).

Hidehiko Fujinaka - One of the best experts on this subject based on the ideXlab platform.

  • Comprehensive data analysis of human Ureter proteome.
    Data in brief, 2016
    Co-Authors: Sameh Magdeldin, Yoshitoshi Hirao, Amr El Guoshy, Ying Zhang, Hidehiko Fujinaka, Keiko Yamamoto, John R. Yates, Tadashi Yamamoto
    Abstract:

    Comprehensive human Ureter proteome dataset was generated from OFFGel fractionated Ureter samples. Our result showed that among 2217 non-redundant Ureter proteins, 751 protein candidates (33.8%) were detected in urine as urinary protein/polypeptide or exosomal protein. On the other hand, comparing Ureter protein hits (48) that are not shown in corresponding databases to urinary bladder and prostate human protein atlas databases pinpointed 21 proteins that might be unique to Ureter tissue. In conclusion, this finding offers future perspectives for possible identification of Ureter Disease-associated biomarkers such as Ureter carcinoma. In addition, Cytoscape GO annotation was examined on the final Ureter dataset to better understand proteins molecular function, biological processes, and cellular component. The Ureter proteomic dataset published in this article will provide a valuable resource for researchers working in the field of urology and urine biomarker discovery.

  • A proteomic glimpse into human Ureter proteome.
    Proteomics, 2015
    Co-Authors: Sameh Magdeldin, Yoshitoshi Hirao, Ying Zhang, Hidehiko Fujinaka, Keiko Yamamoto, John R. Yates, Amr Elguoshy, Tadashi Yamamoto
    Abstract:

    Urine has evolved as one of the most important biofluids in clinical proteomics due to its noninvasive sampling and its stability. Yet, it is used in clinical diagnostics of several disorders by detecting changes in its components including urinary protein/polypeptide profile. Despite the fact that majority of proteins detected in urine are primarily originated from the urogenital (UG) tract, determining its precise source within the UG tract remains elusive. In this article, we performed a comprehensive analysis of Ureter proteome to assemble the first unbiased Ureter dataset. Next, we compared these data to urine, urinary exosome, and kidney mass spectrometric datasets. Our result concluded that among 2217 nonredundant Ureter proteins, 751 protein candidates (33.8%) were detected in urine as urinary protein/polypeptide or exosomal protein. On the other hand, comparing Ureter protein hits (48) that are not shown in corresponding databases to urinary bladder and prostate human protein atlas databases pinpointed 21 proteins that might be unique to Ureter tissue. In conclusion, this finding offers future perspectives for possible identification of Ureter Disease-associated biomarkers such as Ureter carcinoma. In addition, the Ureter proteomic dataset published in this article will provide a valuable resource for researchers working in the field of urology and urine biomarker discovery. All MS data have been deposited in the ProteomeXchange with identifier PXD002620 (http://proteomecentral.proteomexchange.org/dataset/PXD002620).