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Ling Lin

Researcher at Fudan University

Publications -  6
Citations -  275

Ling Lin is an academic researcher from Fudan University. The author has contributed to research in topics: Biology & Medicine. The author has an hindex of 1, co-authored 1 publications receiving 183 citations.

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Cancer Serum Atlas supported precise pan-targeted proteomics enable multi-cancer detection

TL;DR: The Cancer Serum Atlas provides a wide range of potential biomarkers that serve as targets and standard assays for systematic and high-efficient serological studies of cancer, and the CancerSerum Atlas supported pan-targeted proteomic strategy enables high- efficient biomarker discovery and multi-cancer detection, thus can be a powerful tool for liquid biopsy.
Journal ArticleDOI

Shotgun lipidomics combined targeted MRM reveals sphingolipid signatures of coronary artery disease.

TL;DR: Wang et al. as mentioned in this paper integrated shotgun lipidomics with targeted LC-MRM/MS approach to comprehensively analyze SPL species in various biological samples with high accuracy, which clearly support the sphingolipidomic approach in application to discovering disease biomarker panel as well as deep investigation of biological functions of complex SPLs in mammalian samples.
Posted ContentDOI

Single-cell time-resolved multi-omics reveal apoptotic and ferroptotic heterogeneity during foam cell formation

Yiwen Wang, +2 more
- 02 Apr 2023 - 
TL;DR: In this article , the authors used time-resolved and single-cell multi-omics to investigate the macrophage heterogeneity along foam cell formation, which revealed the molecular choreography underlying the divergent cell fate during foam-cell formation and revealed the pathogenesis of atherosclerosis and development of new drug targets.

Anatomically resolved transcriptome and proteome landscapes reveal disease‐relevant molecular signatures and systematic changes in heart function of end‐stage dilated cardiomyopathy

TL;DR: In this paper , the authors profiled the region-resolved transcriptome and proteome of healthy and dilated cardiomyopathy human myocardial tissue and obtained the deep-coverage dataset consisting 7,605 proteins and 19,880 transcripts in four chambers of the human heart.