![Phân tích tư tưởng của nhân dân qua đoạn thơ: Những người vợ nhớ chồng… Những cuộc đời đã hóa sông núi ta trong Đất nước của Nguyễn Khoa Điềm](https://timtailieu.net/upload/document/136415/phan-tich-tu-tuong-cua-nhan-dan-qua-doan-tho-039-039-nhung-nguoi-vo-nho-chong-nhung-cuoc-doi-da-hoa-song-nui-ta-039-039-trong-dat-nuoc-cua-nguyen-khoa-136415.jpg)
Báo cáo hóa học: Immunoreactivity of anti-gelsolin antibodies: implications for biomarker validation
Số trang: 10
Loại file: pdf
Dung lượng: 1.22 MB
Lượt xem: 4
Lượt tải: 0
Xem trước 2 trang đầu tiên của tài liệu này:
Thông tin tài liệu:
Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Immunoreactivity of anti-gelsolin antibodies: implications for biomarker validation
Nội dung trích xuất từ tài liệu:
Báo cáo hóa học: "Immunoreactivity of anti-gelsolin antibodies: implications for biomarker validation"Haverland et al. Journal of Translational Medicine 2010, 8:137http://www.translational-medicine.com/content/8/1/137 RESEARCH Open AccessImmunoreactivity of anti-gelsolin antibodies:implications for biomarker validationNicole Haverland, Gwënaël Pottiez, Jayme Wiederin, Pawel Ciborowski* Abstract Background: Proteomic-based discovery of biomarkers for disease has recently come under scrutiny for a variety of issues; one prominent issue is the lack of orthogonal validation for biomarkers following discovery. Validation by ELISA or Western blot requires the use of antibodies, which for many potential biomarkers are under-characterized and may lead to misleading or inconclusive results. Gelsolin is one such biomarker candidate in HIV-associated neurocognitive disorders. Methods: Samples from human (plasma and CSF), monkey (plasma), monocyte-derived macrophage (supernatants), and commercial gelsolin (recombinant and purified) were quantitated using Western blot assay and a variety of anti-gelsolin antibodies. Plasma and CSF was used for immunoaffinity purification of gelsolin which was identified in eight bands by tandem mass spectrometry. Results: Immunoreactivity of gelsolin within samples and between antibodies varied greatly. In several instances, multiple bands were identified (corresponding to different gelsolin forms) by one antibody, but not identified by another. Moreover, in some instances immunoreactivity depended on the source of gelsolin, e.g. plasma or CSF. Additionally, some smaller forms of gelsolin were identified by mass spectrometry but not by any antibody. Recombinant gelsolin was used as reference sample. Conclusions: Orthogonal validation using specific monoclonal or polyclonal antibodies may reject biomarker candidates from further studies based on misleading or even false quantitation of those proteins, which circulate in various forms in body fluids. as in cohorts of patients; (iii ) standard operatingBackgroundThe development of global proteomic profiling in the mid- procedures - including sample preparation, mass spectro-1990 s raised the expectations for quick discovery of new meters used, and bioinformatic database searching - variedbiomarkers [1]. More importantly, it was expected that between proteomic labs, resulting in variability and only partial overlap of results [4]; and (iv) orthogonal validationprofiling of body fluids using high throughput, sensitiveand specific methods would result in bringing new and of biomarkers in body fluids is essential following discoveryapproved diagnostic and therapeutic biomarkers from phase, however these methods often fail to confirm initialbench to bedside in a fast track manner [2]. However, soon results [5].after the first large profiling experiments were performed, Of all the issues listed above, several are beyond ourresearchers observed several major problems: (i) very high control and others require more technological develop-dynamic range of the expression of proteins in the body ment; validation of quantitative proteomics data is onefluids can reach 1012 orders of magnitude, thereby exclud- such issue requiring advancement [6,7]. Examples ofing the possibility to quantitate both low and high abun- orthogonal validation techniques for MS-based proteomicsdance proteins without additional sample fractionation(s) include Enzyme Linked ImmunoSorbent Assay (ELISA)[3]; (ii) range of concentration for any given protein varies [8-10] and Western blot [11,12]. In comparison, examplesfrom individual to individual in general population as well of parallel validation techniques include Stable Isotope Standards and Capture by Anti-Peptide Antibodies (SIS-* Correspondence: pciborowski@unmc.edu CAPA) [13,14] and Multiple Reaction Monitoring (MRM)Department of Pharmacology and Experimental Neuroscience, University of [15,16]. Each technique has advantages and drawbacks forNebraska Medical Center, Omaha, NE 68198, USA ...
Nội dung trích xuất từ tài liệu:
Báo cáo hóa học: "Immunoreactivity of anti-gelsolin antibodies: implications for biomarker validation"Haverland et al. Journal of Translational Medicine 2010, 8:137http://www.translational-medicine.com/content/8/1/137 RESEARCH Open AccessImmunoreactivity of anti-gelsolin antibodies:implications for biomarker validationNicole Haverland, Gwënaël Pottiez, Jayme Wiederin, Pawel Ciborowski* Abstract Background: Proteomic-based discovery of biomarkers for disease has recently come under scrutiny for a variety of issues; one prominent issue is the lack of orthogonal validation for biomarkers following discovery. Validation by ELISA or Western blot requires the use of antibodies, which for many potential biomarkers are under-characterized and may lead to misleading or inconclusive results. Gelsolin is one such biomarker candidate in HIV-associated neurocognitive disorders. Methods: Samples from human (plasma and CSF), monkey (plasma), monocyte-derived macrophage (supernatants), and commercial gelsolin (recombinant and purified) were quantitated using Western blot assay and a variety of anti-gelsolin antibodies. Plasma and CSF was used for immunoaffinity purification of gelsolin which was identified in eight bands by tandem mass spectrometry. Results: Immunoreactivity of gelsolin within samples and between antibodies varied greatly. In several instances, multiple bands were identified (corresponding to different gelsolin forms) by one antibody, but not identified by another. Moreover, in some instances immunoreactivity depended on the source of gelsolin, e.g. plasma or CSF. Additionally, some smaller forms of gelsolin were identified by mass spectrometry but not by any antibody. Recombinant gelsolin was used as reference sample. Conclusions: Orthogonal validation using specific monoclonal or polyclonal antibodies may reject biomarker candidates from further studies based on misleading or even false quantitation of those proteins, which circulate in various forms in body fluids. as in cohorts of patients; (iii ) standard operatingBackgroundThe development of global proteomic profiling in the mid- procedures - including sample preparation, mass spectro-1990 s raised the expectations for quick discovery of new meters used, and bioinformatic database searching - variedbiomarkers [1]. More importantly, it was expected that between proteomic labs, resulting in variability and only partial overlap of results [4]; and (iv) orthogonal validationprofiling of body fluids using high throughput, sensitiveand specific methods would result in bringing new and of biomarkers in body fluids is essential following discoveryapproved diagnostic and therapeutic biomarkers from phase, however these methods often fail to confirm initialbench to bedside in a fast track manner [2]. However, soon results [5].after the first large profiling experiments were performed, Of all the issues listed above, several are beyond ourresearchers observed several major problems: (i) very high control and others require more technological develop-dynamic range of the expression of proteins in the body ment; validation of quantitative proteomics data is onefluids can reach 1012 orders of magnitude, thereby exclud- such issue requiring advancement [6,7]. Examples ofing the possibility to quantitate both low and high abun- orthogonal validation techniques for MS-based proteomicsdance proteins without additional sample fractionation(s) include Enzyme Linked ImmunoSorbent Assay (ELISA)[3]; (ii) range of concentration for any given protein varies [8-10] and Western blot [11,12]. In comparison, examplesfrom individual to individual in general population as well of parallel validation techniques include Stable Isotope Standards and Capture by Anti-Peptide Antibodies (SIS-* Correspondence: pciborowski@unmc.edu CAPA) [13,14] and Multiple Reaction Monitoring (MRM)Department of Pharmacology and Experimental Neuroscience, University of [15,16]. Each technique has advantages and drawbacks forNebraska Medical Center, Omaha, NE 68198, USA ...
Tìm kiếm theo từ khóa liên quan:
báo cáo hóa học báo cáo hóa học công trình nghiên cứu về hóa học tài liệu về hóa học cách trình bày báo cáoTài liệu liên quan:
-
HƯỚNG DẪN THỰC TẬP VÀ VIẾT BÁO CÁO THỰC TẬP TỐT NGHIỆP
18 trang 361 0 0 -
Hướng dẫn thực tập tốt nghiệp dành cho sinh viên đại học Ngành quản trị kinh doanh
20 trang 248 0 0 -
Đồ án: Nhà máy thủy điện Vĩnh Sơn - Bình Định
54 trang 223 0 0 -
23 trang 217 0 0
-
40 trang 201 0 0
-
BÁO CÁO IPM: MÔ HÌNH '1 PHẢI 5 GIẢM' - HIỆN TRẠNG VÀ KHUYNH HƯỚNG PHÁT TRIỂN
33 trang 194 0 0 -
8 trang 192 0 0
-
Báo cáo môn học vi xử lý: Khai thác phần mềm Proteus trong mô phỏng điều khiển
33 trang 187 0 0 -
Tiểu luận Nội dung và bản ý nghĩa di chúc của Chủ tịch Hồ Chí Minh
22 trang 179 0 0 -
Chuyên đề mạng máy tính: Tìm hiểu và Cài đặt Group Policy trên windows sever 2008
18 trang 168 0 0