151 PROTEOMICS ANALYSIS OF PREGNANCY-SPECIFIC SERUM PROTEINS IN BOVINE

2006 ◽  
Vol 18 (2) ◽  
pp. 183 ◽  
Author(s):  
D. I. Jin ◽  
H. R. Lee ◽  
H. R. Kim ◽  
H. J. Lee ◽  
J. T. Yoon ◽  
...  
Keyword(s):  
Heavy Chain ◽  
Early Pregnancy ◽  
Serum Proteins ◽  
Optical Resolution ◽  
Variable Region ◽  
Serum Samples ◽  
Proteomics Analysis ◽  
Specific Serum ◽  
Specific Proteins ◽  
Immunoglobulin Gamma

To identify early pregnancy-specific serum proteins in bovine, we performed proteomics analysis using blood serum samples of pregnant and non-pregnant Holstein dairy cattle Days 21 and 35 after AI. A total of eight pregnant and eight non-pregnant cattle were used for collection of the blood samples. The global proteomics approach was exploited by the use of 2-D gel electrophoresis and mass spectrometry to sort out pregnancy-specific proteins. Serum proteins within isoelectric point ranges of 4.0 to 7.0, 6.0 to 9.0, and 5.5 to 6.7 were analyzed separately by 2-D electrophoresis with three replications of each sample. The stained gels were scanned and calibrated at an optical resolution of 63.5 �m/pixel using a GS-710 imaging densitometer (Bio-Rad Laboratories, Philadelphia, PA, USA). A total of approximately 1200 spots were detected in 2-D gels stained with Coomassie-blue. In the comparison of serum samples from pregnant and non-pregnant cattle, nine pregnancy-specific spots were detected unanimously in Day 21 and Day 35 serum samples. Pregnancy-specific proteins were identified as transferrin, albumin, IgG2a heavy chain constant region, and immunoglobulin gamma heavy chain variable region by means of MALDI-TOF-MS (PerSeptive Biosystems, Framingham, MA, USA). Even though the identified spots were abundant serum proteins, their molecular weights and pI values were different from those of the main serum proteins. Most proteins identified in this analysis appeared to be related with pregnancy-specific subunits or fragments of transferrin, albumin, and IgG. One of the pregnancy-specific proteins, transferrin, is known to be related to iron transport during pregnancy. Western blot analysis using polyclonal anti-transferrin antibody revealed specific transferrin expression in the serum samples from the pregnant cattle but no detectable expression in the serum samples from the non-pregnant cattle. Our results revealed composite profiles of key proteins involved in early pregnancy and suggest the potential use of identified proteins to detect early pregnancy in bovine.

scholarly journals Serum Protein Profiling Reveals a Landscape of Inflammation and Immune Signaling in Early-stage COVID-19 Infection

2020 ◽  
Vol 19 (11) ◽  
pp. 1749-1759 ◽  
Author(s):  
Xin Hou ◽  
Xiaomei Zhang ◽  
Xian Wu ◽  
Minya Lu ◽  
Dan Wang ◽  
...  
Keyword(s):  
Serum Proteins ◽  
Early Stage ◽  
Protein Profiling ◽  
Cytokine Signaling ◽  
Large Set ◽  
Serum Samples ◽  
Antibody Microarray ◽  
Proteomics Analysis ◽  
Immune Signaling ◽  
Anti Inflammation

Coronavirus disease 2019 (COVID-19) is a highly contagious infection and threating the human lives in the world. The elevation of cytokines in blood is crucial to induce cytokine storm and immunosuppression in the transition of severity in COVID-19 patients. However, the comprehensive changes of serum proteins in COVID-19 patients throughout the SARS-CoV-2 infection is unknown. In this work, we developed a high-density antibody microarray and performed an in-depth proteomics analysis of serum samples collected from early COVID-19 (n = 15) and influenza (n = 13) patients. We identified a large set of differentially expressed proteins (n = 132) that participate in a landscape of inflammation and immune signaling related to the SARS-CoV-2 infection. Furthermore, the significant correlations of neutrophil and lymphocyte with the CCL2 and CXCL10 mediated cytokine signaling pathways was identified. These information are valuable for the understanding of COVID-19 pathogenesis, identification of biomarkers and development of the optimal anti-inflammation therapy.

scholarly journals Evaluation of Interferences in Rate and Fixed-Time Nephelometric Assays of Specific Serum Proteins

1999 ◽  
Vol 45 (1) ◽  
pp. 62-67 ◽  
Author(s):  
Xavier Bossuyt ◽  
Norbert Blanckaert
Keyword(s):  
Serum Proteins ◽  
Fixed Time ◽  
The Other ◽  
Serum Samples ◽  
Negative Interference ◽  
Specific Serum ◽  
Interference Studies ◽  
Good Agreement

Abstract We performed interference studies for IgG, IgA, IgM, haptoglobin, and α1-antitrypsin assayed in serum, using either fixed-time nephelometry on the BN 100 from Behring or rate nephelometry on two analyzers from Beckman Instruments. For clear serum samples, results for IgG, IgA, IgM, and haptoglobin obtained with the three nephelometers showed good agreement. Values for α1-antitrypsin in clear sera were lower with the BN 100 than with the Array 360 or Immage. In lipemic samples, the BN 100 gave higher values than the Array 360 or Immage for all analytes except IgG. Addition of Intralipid to serum produced atypical reactions with the BN 100 (fixed-time nephelometry) but not with the Array 360 or Immage (rate nephelometry). The interference of lipemia on the BN 100 was also seen when the Beckman antibody was used, indicating that the effect was reagent-independent. For hemolyzed samples, the BN 100 gave higher values than the Array 360 or Immage for haptoglobin but not for the other analytes. Addition of increasing amounts of a hemolysate to serum revealed a negative interference in all assay systems. This effect was more pronounced with the Beckman reagent than with the Behring reagent in all three nephelometers and was independent of the type of instrument (fixed-time vs rate nephelometry).

scholarly journals Serum protein profiling reveals a landscape of inflammation and immune signaling in early-stage COVID-19 infection

2020 ◽  
Author(s):  
Xin Hou ◽  
Xiaomei Zhang ◽  
Xian Wu ◽  
Minya Lu ◽  
Dan Wang ◽  
...  
Keyword(s):  
Serum Proteins ◽  
Early Stage ◽  
Protein Profiling ◽  
Cytokine Signaling ◽  
Large Set ◽  
Serum Samples ◽  
Antibody Microarray ◽  
Proteomics Analysis ◽  
Immune Signaling ◽  
Anti Inflammation

Coronavirus disease 2019 (COVID-19) is a highly contagious infection and threating the human lives in the world. The elevation of cytokines in blood is crucial to induce cytokine storm and immunosuppression in the transition of severity in COVID-19 patients. However, the comprehensive changes of serum proteins in COVID-19 patients throughout the SARS-CoV-2 infection is unknown. In this work, we developed a high-density antibody microarray and performed an in-depth proteomics analysis of serum samples collected from early COVID-19 (n=15) and influenza (n=13) patients. We identified a large set of differentially expressed proteins (n=125) that participate in a landscape of inflammation and immune signaling related to the SARS-CoV-2 infection. Furthermore, the significant correlations of neutrophil and lymphocyte with the CCL2 and CXCL10 mediated cytokine signaling pathways was identified. These information are valuable for the understanding of COVID-19 pathogenesis, identification of biomarkers and development of the optimal anti-inflammation therapy.

scholarly journals Computer-supported Detection of M-Components and Evaluation of Immunoglobulins after Capillary Electrophoresis

2001 ◽  
Vol 47 (1) ◽  
pp. 110-117 ◽  
Author(s):  
Magnus Jonsson ◽  
Joyce Carlson ◽  
Jan-Olof Jeppsson ◽  
Per Simonsson
Keyword(s):  
Capillary Electrophoresis ◽  
Decision Support ◽  
Protein Separation ◽  
Serum Proteins ◽  
Cost Effective ◽  
Clinical Samples ◽  
Serum Samples ◽  
Computerized Decision Support ◽  
Cost Effective Method ◽  
Mathematical Algorithms

Abstract Background: Electrophoresis of serum samples allows detection of monoclonal gammopathies indicative of multiple myeloma, Waldenström macroglobulinemia, monoclonal gammopathy of undetermined significance, and amyloidosis. Present methods of high-resolution agarose gel electrophoresis (HRAGE) and immunofixation electrophoresis (IFE) are manual and labor-intensive. Capillary zone electrophoresis (CZE) allows rapid automated protein separation and produces digital absorbance data, appropriate as input for a computerized decision support system. Methods: Using the Beckman Paragon CZE 2000 instrument, we analyzed 711 routine clinical samples, including 95 monoclonal components (MCs) and 9 cases of Bence Jones myeloma, in both the CZE and HRAGE systems. Mathematical algorithms developed for the detection of monoclonal immunoglobulins (MCs) in the γ- and β-regions of the electropherogram were tested on the entire material. Additional algorithms evaluating oligoclonality and polyclonal concentrations of immunoglobulins were also tested. Results: CZE electropherograms corresponded well with HRAGE. Only one IgG MC of 1 g/L, visible on HRAGE, was not visible after CZE. Algorithms detected 94 of 95 MCs (98.9%) and 100% of those visible after CZE. Of 607 samples lacking an MC on HRAGE, only 3 were identified by the algorithms (specificity, 99%). Algorithms evaluating total gammaglobulinemia and oligoclonality also identified several cases of Bence Jones myeloma. Conclusions: The use of capillary electrophoresis provides a modern, rapid, and cost-effective method of analyzing serum proteins. The additional option of computerized decision support, which provides rapid and standardized interpretations, should increase the clinical availability and usefulness of protein analyses in the future.

Clustering of extensive somatic mutations in the variable region of an immunoglobulin heavy chain gene from a human B cell lymphoma

Cell ◽  
1986 ◽  
Vol 44 (1) ◽  
pp. 97-106 ◽  
Author(s):  
Michael L. Cleary ◽  
Timothy C. Meeker ◽  
Shoshana Levy ◽  
Elizabeth Lee ◽  
Martha Trela ◽  
...  
Keyword(s):  
B Cell ◽  
Heavy Chain ◽  
Somatic Mutations ◽  
Cell Lymphoma ◽  
Variable Region ◽  
B Cell Lymphoma ◽  
Chain Gene ◽  
Heavy Chain Gene ◽  
Immunoglobulin Heavy Chain Gene ◽  
Human B Cell

Development of diagnostic antibodies against immunoglobulin heavy chain variable region for heavy chain amyloidosis (AH amyloidosis)

2021 ◽  
Vol 71 (4) ◽  
pp. 245-254
Author(s):  
Mayuko Nakagawa ◽  
Masahide Yazaki ◽  
Fuyuki Kametani ◽  
Nagaaki Katoh ◽  
Tsuneaki Yoshinaga ◽  
...  
Keyword(s):  
Heavy Chain ◽  
Variable Region ◽  
Immunoglobulin Heavy Chain ◽  
Heavy Chain Variable Region

scholarly journals Associations between the thyroid panel and serum protein concentrations across pregnancy

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Barbara Lisowska-Myjak ◽  
Agnieszka Strawa ◽  
Hanna Zborowska ◽  
Artur Jakimiuk ◽  
Ewa Skarżyńska
Keyword(s):  
Serum Proteins ◽  
Thyroid Stimulating Hormone ◽  
Second Trimester ◽  
Serum Concentrations ◽  
Metabolic Processes ◽  
Serum Samples ◽  
Serum Parameters ◽  
Active Regulation ◽  
Potential Use

AbstractEstablishing any characteristic associations between the serum parameters of thyroid function and serum proteins in pregnancy may aid in elucidating the role of the thyroid gland in the regulation of pregnancy-specific metabolic processes and in selecting candidate biomarkers for use in their clinical assessment. Concentrations of thyroid stimulating hormone (TSH), free tri-iodothyronine (fT3) and free thyroxine (fT4), six electrophoretically separated protein fractions (albumin, alpha-1-, alpha2-, beta-1-, beta-2- and gamma-globulins), representative proteins—albumin (ALB), transferrin (TRF), alpha-2-macroglobulin (AMG) and ceruloplasmin (CER) were measured in 136 serum samples from 65 women in their consecutive trimesters of pregnancy. The concentrations of TSH, fT4 and fT3 were significantly correlated (p < 0.05) with the concentrations of the albumin, alpha-2- and beta-1 globulin fractions. Significant correlations (p < 0.05) which were positive between fT4 and ALB and negative between fT4 and TRF were established throughout pregnancy. Significant negative correlations (p < 0.05) were demonstrated for fT3 with alpha-2-globulin, AMG and CER. Changes in the serum concentrations of thyroid hormones seen between the trimesters were found to correlate with the concentrations of high-abundance serum proteins. Opposite directions of correlations between fT4 and ALB and fT4 and TRF observed throughout pregnancy may indicate the shared biological role of these parameters in maintaining maternal homeostasis and they suggest their potential use in the clinic as a simple biomarker panel. A negative correlation of fT3 with CER in the second trimester possibly reflects their involvement in the active regulation of metabolic processes.

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