Single-cell RNA sequencing analysis dissected the osteo-immunology microenvironment and revealed key regulators in osteoporosis

骨质疏松症 生物 破骨细胞 核糖核酸 基因 深度测序 骨重建 计算生物学 生物信息学 遗传学 受体 基因组 内分泌学
作者
Yuxin Wang,Quan Wang,Qianhui Xu,Jiarui Li,Fengchao Zhao
出处
期刊:International Immunopharmacology [Elsevier]
卷期号:113: 109302-109302 被引量:14
标识
DOI:10.1016/j.intimp.2022.109302
摘要

Osteoporoticfractures become increasingly common in postmenopausal women over age 55 years and men after age 65 years, bringing about substantial bone-associated morbidities, and augmented mortality and health-care costs. Advanced researches have led to a more accurate assessment of osteoporosis (OP) and have broadened the range of therapeutic approaches available to prevent osteoporotic fractures. Single-cell RNA sequencing (scRNA-seq) analysis is an evolutionary method that quantifies the majority of transcripts in individual cells at isoform resolution, paving the way for more detailed analyses of gene regulation in biology and medicine. We have extracted 19,102 cells and 4097 dynamical genes with significant expression changes. Several new subtypes of macrophages and differentially over-expressed genes were discovered in the trajectory of osteoclasts formation. The zinc finger protein 36, C3H type-like 1 (ZFP36L1) and defensin alpha 3 (DEFA3) were identified as novel bone metabolism-related genes. RETN-CAP1 was newly found to be involved in the interaction between osteoclasts and immunocytes, indicating that osteo-immunology microenvironment substantially contributed to the pathology of osteoporosis or osteopenia. In this research, we have performed Single-cell RNA sequencing analysis to display the trajectory of osteoclast formation and reveal the possible gene targets and signaling pathways that probably play an important role in osteoporosis.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
听话的飞松完成签到,获得积分10
刚刚
SALI发布了新的文献求助10
刚刚
刚刚
赘婿应助点点点采纳,获得10
1秒前
zjj发布了新的文献求助10
1秒前
2秒前
3秒前
Owen应助小菜鸟飞不高采纳,获得30
4秒前
zeb发布了新的文献求助10
4秒前
5秒前
7秒前
乐乐应助大曼采纳,获得10
9秒前
bkagyin应助噜噜晓采纳,获得10
9秒前
一研为定发布了新的文献求助20
9秒前
64646466完成签到,获得积分10
11秒前
从容芮应助小马同学采纳,获得50
12秒前
曹小曹完成签到,获得积分10
14秒前
14秒前
14秒前
深情安青应助寀园一只猪采纳,获得10
16秒前
斯文败类应助番茄酱采纳,获得30
16秒前
16秒前
SciGPT应助点点点采纳,获得10
17秒前
范米粒完成签到,获得积分20
18秒前
郑石发布了新的文献求助10
18秒前
19秒前
在水一方应助科研通管家采纳,获得10
19秒前
19秒前
科目三应助科研通管家采纳,获得10
19秒前
共享精神应助科研通管家采纳,获得10
19秒前
打打应助科研通管家采纳,获得10
19秒前
Lucas应助科研通管家采纳,获得10
20秒前
20秒前
完美世界应助科研通管家采纳,获得10
20秒前
华仔应助科研通管家采纳,获得10
20秒前
Halari应助科研通管家采纳,获得10
20秒前
隐形曼青应助科研通管家采纳,获得10
20秒前
英姑应助科研通管家采纳,获得10
20秒前
李爱国应助科研通管家采纳,获得10
20秒前
ding应助科研通管家采纳,获得10
20秒前
高分求助中
Evolution 2024
Impact of Mitophagy-Related Genes on the Diagnosis and Development of Esophageal Squamous Cell Carcinoma via Single-Cell RNA-seq Analysis and Machine Learning Algorithms 2000
How to Create Beauty: De Lairesse on the Theory and Practice of Making Art 1000
Gerard de Lairesse : an artist between stage and studio 670
大平正芳: 「戦後保守」とは何か 550
Contributo alla conoscenza del bifenile e dei suoi derivati. Nota XV. Passaggio dal sistema bifenilico a quello fluorenico 500
Multiscale Thermo-Hydro-Mechanics of Frozen Soil: Numerical Frameworks and Constitutive Models 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 2997229
求助须知:如何正确求助?哪些是违规求助? 2657705
关于积分的说明 7193807
捐赠科研通 2293035
什么是DOI,文献DOI怎么找? 1215732
科研通“疑难数据库(出版商)”最低求助积分说明 593300
版权声明 592825