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The effect of freezing delay of cell-type specific transcriptome responses in human brain via snRNA-seq

In other analysis in the current manuscript, we find a similar gene signature (to dissociation based artifacts in mouse and human tissue) is present in post-mortem microglia and astrocytes, across all snRNA-seq datasets analyzed, although it is highly variable between subjects. ​ Using acutely-resected neurosurgical tissue, we performed single-nucleus RNA-seq and reveal that a similar signature can be detected in microglia following prolonged exposure to room temperature. Tissue handling and methods details, as well as sequencing and analysis details) can be found in the methods section of related manuscript (Marsh et al., 2022). Together, these results suggest that the presence of this signature in post-mortem brain samples may be the result of a combination of acute pre-mortem (agonal state, cause of death, comorbidities, etc.) and post-mortem (post-mortem interval (PMI), storage time, RNA quality, etc.) variables and may not represent normally present cell state.

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Studies are experimental investigations of a particular phenomenon, e.g., case-control studies on a particular trait or cancer research projects reporting matching cancer normal genomes from patients.

Study ID Study Title Study Type
Transcriptome Analysis

This table displays only public information pertaining to the files in the dataset. If you wish to access this dataset, please submit a request. If you already have access to these data files, please consult the download documentation.

ID File Type Size Located in
EGAF00005791462 1643973360041 42.9 GB
EGAF00005791463 1643972340017 39.5 GB
EGAF00005791464 1643973600027 50.9 GB
EGAF00005791465 1643972640036 29.6 GB
EGAF00005791472 1643983440035 53.8 kB
EGAF00005791473 1643983500441 89.0 MB
EGAF00005791474 1643983500441 122.7 MB
EGAF00005791475 1643983440035 304.9 kB
EGAF00005791476 1643983440035 36.0 kB
EGAF00005791477 1643983440035 304.9 kB
EGAF00005791478 1643983440035 43.7 kB
EGAF00005791479 1643983440035 304.9 kB
EGAF00005791480 1643983440035 304.9 kB
EGAF00005791481 1643983500441 94.1 MB
EGAF00005791482 1643983440035 33.0 kB
EGAF00005791483 1643983440035 72.9 MB
16 Files (163.3 GB)