Spatiotemporal Heterogeneity of De Novo Lipogenesis in Fixed and Living Single Cells

脂肪生成 脂滴 脂质代谢 脂肪细胞 化学 生物物理学 细胞 生物 生物化学 内科学 内分泌学 脂肪组织 医学
作者
Sydney O. Shuster,Michael J. Burke,Caitlin M. Davis
出处
期刊:Journal of Physical Chemistry B [American Chemical Society]
卷期号:127 (13): 2918-2926 被引量:14
标识
DOI:10.1021/acs.jpcb.2c08812
摘要

De novo lipogenesis (DNL) is a critical metabolic process that provides the majority of lipids for adipocyte and liver tissue. In cancer, obesity, type II diabetes, and nonalcoholic fatty liver disease DNL becomes dysregulated. A deeper understanding of the rates and of subcellular organization of DNL is necessary for identifying how this dysregulation occurs and varies across individuals and diseases. However, DNL is difficult to study inside the cell because labeling lipids and their precursors is not trivial. Existing techniques either can only measure parts of DNL, like glucose uptake, or do not provide spatiotemporal resolution. Here, we track DNL in space and time as isotopically labeled glucose is converted to lipids in adipocytes using optical photothermal infrared microscopy (OPTIR). OPTIR provides submicron resolution infrared imaging of the glucose metabolism in both living and fixed cells while also reporting on the identity of lipids and other biomolecules. We show significant incorporation of the labeled carbons into triglycerides in lipid droplets over the course of 72 h. Live cells had better preservation of lipid droplet morphology, but both showed similar DNL rates. Rates of DNL, as measured by the ratio of 13C-labeled lipid to 12C-labeled lipid, were heterogeneous, with differences within and between lipid droplets and from cell to cell. The high rates of DNL measured in adipocyte cells match upregulated rates of DNL previously reported in PANC1 pancreatic cancer cells. Taken together, our findings support a model where DNL is locally regulated to meet energy needs within cells.
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
小马宝莉发布了新的文献求助10
刚刚
1秒前
兔BF发布了新的文献求助10
1秒前
活泼火水完成签到,获得积分10
2秒前
上官若男应助研友_LOoomL采纳,获得10
2秒前
NexusExplorer应助青苔采纳,获得10
3秒前
小二郎应助本草石之寒温采纳,获得10
3秒前
酷波er应助jzy采纳,获得10
3秒前
小曦完成签到,获得积分20
4秒前
学术小白发布了新的文献求助10
4秒前
4秒前
4秒前
百里酚蓝发布了新的文献求助10
5秒前
8秒前
完美世界应助小马宝莉采纳,获得10
8秒前
ky发布了新的文献求助10
9秒前
生动的冰蓝完成签到,获得积分10
10秒前
年轻秋烟发布了新的文献求助10
10秒前
duan发布了新的文献求助10
11秒前
小曦发布了新的文献求助10
11秒前
的的关注了科研通微信公众号
11秒前
12秒前
共享精神应助bioglia采纳,获得10
15秒前
CanLiu发布了新的文献求助10
15秒前
凉拌冰阔落完成签到,获得积分10
16秒前
所所应助吴帆采纳,获得10
17秒前
科研通AI2S应助langbuyu采纳,获得10
18秒前
18秒前
我是老大应助小曦采纳,获得10
19秒前
微笑的弘文完成签到 ,获得积分10
19秒前
不想取名字完成签到,获得积分10
19秒前
21秒前
哈哈发布了新的文献求助10
21秒前
Garry完成签到,获得积分10
22秒前
22秒前
22秒前
ccc完成签到,获得积分10
23秒前
reegdsgsfd发布了新的文献求助20
24秒前
舒适静曼发布了新的文献求助10
24秒前
虚拟的柠檬完成签到,获得积分10
24秒前
高分求助中
Sustainability in Tides Chemistry 2000
Bayesian Models of Cognition:Reverse Engineering the Mind 800
Essentials of thematic analysis 700
A Dissection Guide & Atlas to the Rabbit 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 500
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 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 3124949
求助须知:如何正确求助?哪些是违规求助? 2775300
关于积分的说明 7726177
捐赠科研通 2430793
什么是DOI,文献DOI怎么找? 1291479
科研通“疑难数据库(出版商)”最低求助积分说明 622162
版权声明 600328