蒋岚研究员是千人计划青年项目获得者，长期从事表观遗传学和单细胞多组学方面的研究。目前已发表论文20余篇，其中Cell, Nature, Genome Biology等杂志发表第一或者通讯作者论文（含共同）共计10篇，专著1部。曾获得中国科学院院长特别奖、中国科学院百篇优博、吴瑞奖、美国Charles A. King Trust Fellowship, NIH K99 Award等奖项。承担国家重点研发计划课题、中国科学院战略性先导科技专项（B类）课题和国家自然科学基金项目等任务。取得的成果包括开发单细胞组学技术和计算方法(2023 Genome Biology，2023 Cell Reports，2022 Small, 2017 Cell Reports, 2016 Genome Biology), 建立组蛋白修饰介导的印记基因新方向(2017 Nature)，报道DNA甲基化在脊椎动物早期胚胎的跨代遗传规律(2013 Cell)等。

     演讲题目：通用型微流控组合标记单细胞测序技术

    演讲摘要：Droplet microfluidics based single-cell combinatorial indexing sequencing represents an attractive way to balance cost, scalability, robustness, and accessibility. However, current methods need a tailored protocol for specific modality respectively, which may limit their potential for automation. Here, we introduce UDA-seq, universal droplet microfluidics based combinatorial indexing for massive-scale single-cell multimodal sequencing. We demonstrate that, when necessary, UDA-seq enables effectively generating more than 100,000 single-cell data in a single-channel experiment of droplet microfluidics. Meanwhile, UDA-seq provides a universal workflow for accomplishing several multimodal tasks, including single-cell co-assay of RNA and VDJ, RNA and ATAC, and RNA and CRISPR gRNA. Our approach represents a broadly applicable strategy for boosting the throughput and systematically “rewriting” most of existing droplet microfluidics based single-cell multimodal methods.