什么是细胞图谱（如人类细胞图谱计划）？
What is a cell atlas such as the Human Cell Atlas?
它用单细胞技术为人体每种组织绘制所有细胞类型的分子身份证和空间位置，目标是绘出完整的人体细胞地图。
It uses single-cell technology to map every cell type's molecular identity and location across human tissues, aiming for a complete cellular map of the body.
难度 专业 · 适合 小学高段(9-12)
CC BY 4.0 · 来源待核验 · Source pending review
来源 · Source
出处备注：本题原挂出处与答案内容不符，已撤回；具体书目待补，暂不展示来源。
本题原挂出处与答案内容不符，已撤回；具体书目待补。
Previous citation withdrawn as unsupported for this answer; a specific source is pending.
#细胞图谱 #人类细胞图谱
单细胞测序能解决传统测序解决不了的什么问题？
What can single-cell sequencing do that bulk sequencing cannot?
传统测序把一群细胞混在一起测平均信号，掩盖了细胞之间的差异；单细胞测序逐个细胞读取转录组，能发现稀有的细胞类型和状态。
Bulk sequencing averages signals and hides heterogeneity, while single-cell methods read each cell's transcriptome to reveal rare cell types and states.
难度 专业 · 适合 大众
CC BY 4.0 · 已核验 · Verified 2026-08-23
来源 · Source
Alberts 等,《Molecular Biology of the Cell》第6版,Garland Science,2014
B. Alberts et al., Molecular Biology of the Cell, 6th ed., Garland Science, 2014
#单细胞测序 #转录组
空间转录组学为什么是单细胞研究的下一步？
Why is spatial transcriptomics the next step after single-cell studies?
它保留了细胞在组织中原本的位置信息，让我们看到基因表达如何随空间邻近关系变化，而不是把组织打成失去位置的单细胞悬液。
It preserves each cell's original tissue coordinates, revealing how gene expression varies with spatial neighborhood rather than losing position in a cell suspension.
难度 进阶 · 适合 大众
CC BY 4.0 · 来源待核验 · Source pending review
来源 · Source
出处备注：本题原挂出处与答案内容不符，已撤回；具体书目待补，暂不展示来源。
本题原挂出处与答案内容不符，已撤回；具体书目待补。
Previous citation withdrawn as unsupported for this answer; a specific source is pending.
#空间转录组 #组织定位
单细胞多组学（multi-omics）把哪些层面整合在一起？
What layers does single-cell multi-omics integrate?
同一个细胞可同时测量转录组、表观组（如 ATAC）和蛋白表达，拼接出更完整的细胞调控图景。
The same cell can be measured for transcriptome, epigenome (e.g., ATAC), and protein levels, building a fuller picture of cellular regulation.
难度 进阶 · 适合 大众
CC BY 4.0 · 已核验 · Verified 2026-10-04
来源 · Source
Hasin Y, Seldin M, Lusis A. Multi-omics approaches to disease. Genome Biology (2017) 18:83
Hasin Y, Seldin M, Lusis A. Multi-omics approaches to disease. Genome Biology (2017) 18:83
独立核验依据 · Independent verification: 核验依据 1 DOI 10.1186/s13059-017-1215-1
#多组学 #单细胞