Isolation of monoclonal antibodies recognizing rat bone-associated molecules in vitro and in vivo.

Author:

Turksen K,Bhargava U,Moe H K,Aubin J E

Abstract

Knowledge of the number and kinds of differentiation steps that characterize cells of the osteoblast lineage is inadequate. To further analyze osteoblast differentiation, we generated a series of monoclonal antibodies (MAb) to osteogenic cells. Spleen cells from mice immunized with whole-cell populations enriched for expression of osteoblast-associated properties or bone formation in vitro were fused with the SP2/0 myeloma cell line. Supernatants from growing hybridomas were screened by indirect immunofluorescence on frozen sections of a portion of 21-day fetal rat heads that included the calvaria bone, periosteum, muscle, fibrous connective tissue, and skin. Six MAb were selected with bone-associated staining and limited ability to label other tissues. Either cell surface or cytoplasmic molecules were recognized by five of the MAb; one recognized a molecule detectable both in the cytoplasm, on the cell surface, and in the extracellular matrix. Of the antibodies selected, one identified both preosteoblasts and osteoblasts and has been found to be against alkaline phosphatase. The others recognized the mature osteoblasts, osteocytes, and chondrocytic cells. The pattern and distribution of the labeling in vivo extended to primary cells and cell lines in vivo. These results support earlier observations on molecules differentially expressed by cells at different stages of the osteoblast lineage and extend the available cell surface and cytoplasmic epitopes identifiable as marker molecules.

Publisher

SAGE Publications

Subject

Histology,Anatomy

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3