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Yingying Ma on Muck Rack

Yingying Ma

As seen in: Nature, Wiley Online Library, Frontiers, MDPI, ACS Publications, Science Magazine, Royal Society of Chemistry, BioRxiv, Journal of Advanced Transportation, Mary Ann Liebert, Inc. and
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Articles

Safety of Pharmaceutical Nanosuspensions in Drug Delivery: Evidence, Knowledge Gaps, and Safety-By-Design Strategies Click to copy article link Article link copied!

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By Yingying Ma, Liuying Wang, Yancai Wang
| ACS Publications
Abstract Click to copy section linkSection link copied! Poor aqueous solubility remains a major barrier to small-molecule drug development. Pharmaceutical nanosuspensions, composed mainly of drug nanocrystals stabilized by small amounts of excipients, can improve dissolution and have been translated into several oral products and long-acting injectables. However, their simple compositions do not make them biologically inert.
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Investigating the human anellome across the lifespan reveals sex-specific biphasic trajectories

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By Yakhouba Kane, Yingying Ma, Beibei Yan, Xiuli Zhao, Ting Ge, Yanpeng Li, Lê Cao, Min Zhang, Yuanyuan Pei, Zhenzhou Wan, Ting Zhang, Chiyu Zhang
| Nature Verified
Abstract Anelloviruses dominate the human plasma virome, yet their lifespan dynamics and relationships with the immune system are unclear. We integrated metagenomics with cytokines, HERV-K, and CMV profiling across 405 individuals (0–100 years) and found that prevalence, abundance, and diversity varied non-linearly with age and by sex. Alphatorqueviruses accumulated progressively with age, while betatorqueviruses and gammatorqueviruses displayed biphasic, female-specific patterns.
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Inferring translational efficiency from transcriptomes improves noncanonical neoantigen prioritization and cancer patient stratification

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By Yingying Ma, Chao Gao, Kang Xu, KangLe Wang, Jing Ma, Yangyang Cai, Dezhong Lv, Qinghua Jiang, Kun Wang, Yongsheng Li
| Nature Verified
Abstract Accurate assessment of protein translation is crucial for understanding disease variant functions, but mRNA-protein discrepancy limits transcriptomics-based clinical oncology. While ribosome profiling directly measures translation, its clinical application is constrained by cost and complexity. Deep learning models like Translatomer infer translation efficiency from RNA-seq, but whether in silico translatomes provide superior clinical utility over standard RNA-seq remains unexplored.
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