Proximity Labeling by a Recombinant APEX2–FGF1 Fusion Protein Reveals Interaction of FGF1 with the Proteoglycans CD44 and CSPG4

FGF1型 融合蛋白 细胞生物学 CD44细胞 受体 成纤维细胞生长因子 成纤维细胞生长因子受体 细胞 生物 化学 重组DNA 生物化学 基因
作者
Yan Zhen,Ellen Margrethe Haugsten,Sachin Singh,Jørgen Wesche
出处
期刊:Biochemistry [American Chemical Society]
卷期号:57 (26): 3807-3816 被引量:22
标识
DOI:10.1021/acs.biochem.8b00120
摘要

Fibroblast growth factor 1 (FGF1) binds to specific FGF receptors (FGFRs) at the surface of target cells to initiate intracellular signaling. While heparan sulfate proteoglycans (HSPGs) are well-described coreceptors, it is uncertain whether there are additional binding sites for FGF1 at the cell surface. To address this, we devised and tested a method to identify novel binding sites for FGF1 at the cell surface, which may also be applicable for other protein ligands. We constructed an APEX2-FGF1 fusion protein to perform proximal biotin labeling of proteins following binding of the fusion protein to the cell surface. After functional validation of the fusion protein by a signaling assay, we used this method to identify binding sites for FGF1 on cell surfaces of living cells. We confirmed the feasibility of our approach by detection of FGFR4, a well-known and specific receptor for FGF1. We subsequently screened for novel interactors using RPE1 cells and identified the proteoglycans CSPG4 (NG2) and CD44. We found that FGF1 binds CD44 through its heparin-binding moiety. Moreover, we found that FGF1 was colocalized with both CSPG4 and CD44 at the cell surface, suggesting that these receptors act as storage molecules that create a reservoir of FGF1. Importantly, our data demonstrate that recombinant ligand-APEX2 fusion proteins can be used to identify novel receptor interactions on the cell surface.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
2秒前
chelly完成签到,获得积分20
2秒前
4秒前
白青完成签到,获得积分10
4秒前
小蘑菇应助PQ采纳,获得10
5秒前
顾矜应助xx采纳,获得10
5秒前
Nexus应助Exc采纳,获得30
6秒前
6秒前
6秒前
太渊发布了新的文献求助10
6秒前
叶佳钰发布了新的文献求助10
9秒前
俊秀的傲松完成签到,获得积分20
11秒前
下雨天的秋完成签到,获得积分10
11秒前
ppsy完成签到,获得积分10
11秒前
人鱼发布了新的文献求助10
11秒前
李健应助ffffff采纳,获得10
12秒前
chelly发布了新的文献求助50
13秒前
13秒前
榆叶完成签到,获得积分20
14秒前
轩然完成签到,获得积分10
14秒前
16秒前
Joel应助沉默的婴采纳,获得10
16秒前
18秒前
少吃两口吧完成签到,获得积分20
21秒前
22秒前
23秒前
23秒前
23秒前
NexusExplorer应助嘎嘎顺利采纳,获得10
24秒前
wanci应助111采纳,获得10
25秒前
unique发布了新的文献求助10
26秒前
kuai111完成签到,获得积分10
27秒前
27秒前
27秒前
还吃蛋炒饭完成签到,获得积分20
29秒前
30秒前
31秒前
番茄酱发布了新的文献求助10
31秒前
32秒前
34秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
适配Micro-LED色转换的高兼容性量子点负性光刻胶制备与工艺研究 500
Direct and Iterative Linear System Solvers 500
Vander's Renal Physiology第10版 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7309628
求助须知:如何正确求助?哪些是违规求助? 8926692
关于积分的说明 18919222
捐赠科研通 6971729
什么是DOI,文献DOI怎么找? 3212979
关于科研通互助平台的介绍 2381426
邀请新用户注册赠送积分活动 2190984