Ji Hao, Besson-Girard Simon, Androvic Peter, Bulut Buket, Liu Lu, Wang Yijing, Gokce Ozgun
Systems Neuroscience Laboratory, Institute for Stroke and Dementia Research (ISD), Klinikum der Universität München, Munich, Germany.
Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.
Methods Mol Biol. 2023;2616:205-212. doi: 10.1007/978-1-0716-2926-0_16.
Obtaining high-quality RNA sequencing results from archived biological tissues, such as paraformaldehyde (PFA)-fixed sections for microscopy, is challenging due to the incompatibility of current high-throughput RNA sequencing methods. Here, we present a low-input method for RNA sequencing from archived PFA-fixed sections. Using this method, we routinely obtain high-quality sequencing results from archived mouse brain sections that are prepared for imaging without any special care for avoiding RNA degradation. The PFA cross-linking locks and protects RNA from degradation but cross-linking is also hard to reverse. For this goal, we developed an effective decrosslinking protocol based on Proteinase K activity to retrieve PFA-cross-linked mRNAs which was followed up by a Smart-seq2 library preparation protocol. Our protocol enables spatially defined transcriptomic analysis of archived sections and allows the genomic analysis of PFA-fixed samples. Furthermore, our protocol inactivates pathogenic samples and allows working under regular biosafety levels.
由于当前高通量RNA测序方法的不兼容性,从存档的生物组织(如用于显微镜检查的多聚甲醛(PFA)固定切片)中获得高质量的RNA测序结果具有挑战性。在此,我们提出了一种从存档的PFA固定切片进行RNA测序的低输入量方法。使用这种方法,我们常规地从存档的小鼠脑切片中获得高质量的测序结果,这些切片是为成像而制备的,无需特别注意避免RNA降解。PFA交联可锁定并保护RNA不被降解,但交联也难以逆转。为了实现这一目标,我们基于蛋白酶K活性开发了一种有效的去交联方案,以检索PFA交联的mRNA,随后采用Smart-seq2文库制备方案。我们的方案能够对存档切片进行空间定义的转录组分析,并允许对PFA固定样本进行基因组分析。此外,我们的方案可使致病样本失活,并允许在常规生物安全水平下操作。