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The protocol presented here can be used to reproducibly generate high-quality nuclei from killifish brains. This protocol had to be specifically designed for the killifish brain as typical mammalian-based brain nuclei isolation protocols applied to killifish brains consistently resulted in poor nuclei quality in our hands. We suspect that this is due to the lower relative myelin content of the killifish brain compared to their mammalian counterparts, which would lyse and clump in response to the harsh conditions required for mammalian brain cell lysis. This protocol is an advancement in the aging and killifish fields as it facilitates the exploration of brain aging at the single-cell level in a cost and time-effective model of vertebrate brain aging.
This protocol is robust to fresh or frozen samples, though one must consider the downstream applications when using fresh or frozen tissue. Frozen tissue is often convenient as it can be collected and stored for months while samples are collected. Such samples can be safely used for applications such as snRNA-seq. However, freezing samples may disrupt the nuclear structure and thus the ability to accurately measure the chromatin landscape by ATAC-seq21. Thus, for downstream applications such as bulk ATAC-seq or snATAC-seq, it is recommended to use freshly dissected brains instead of frozen brains. In addition, because all steps after brain homogenization can be performed in parallel, this protocol is amenable to running multiple samples in a reasonable timeframe, thus limiting RNA degradation caused by prolonged incubation on ice.
Furthermore, it is imperative to prepare buffers fresh (within hours) of performing nuclei extraction. We found that detergents as well as BSA must be added to buffers immediately prior to beginning the protocol. Buffers containing only salts (PBS, NaCl, etc.) may be made as concentrates, filter sterilized (0.22 µm), and stored indefinitely at room temperature. BSA stock solutions may be prepared, sterilized, and stored at 4 °C within days of the nuclei extraction (if prepared from a powder) but should always be added to the buffers used in this protocol immediately before undertaking the protocol. However, we recommend preparing BSA solutions on the day of the protocol. If using premade BSA solutions from a third party, it is advised to use fresh, unopened bottles. Using fresh BSA generally leads to lower debris content in nuclei preps.
Whether fresh or frozen samples are used as input, it is important to assess nuclei quality following nuclei isolation. Though this protocol is specifically designed to avoid overlysis, this is the most common cause of nuclei quality loss. Overlysis may result from too much time spent in the lysis buffer, overly rough handling of the nuclei such as excessive pipetting with a standard bore pipette tip, or an excessive amount of time spent between nuclei isolation and downstream applications (>1 h). Overlysed nuclei will often have damaged nuclear peripheries, which leak DNA and cause clumping (Figure 2B). This will lead to an increased number of multiplets and contribute background nucleic acids that will interfere with downstream applications, especially snRNA-seq. Both qualities can be assessed by microscopy following nuclei isolation. If excessive nuclear clumping is observed, we recommend trying to shorten the lysis step incubation to reduce the chance of overlysis. As an alternative method for increasing nuclei singlets, fluorescence-assisted cell sorting (FACS) may be used to enrich for singlets downstream of this protocol. However, we note that, when working with already fragile nuclei from frozen tissue, the shear stress occurring during sorting may lead to increased nuclear rupture and thus increased ambient RNA/DNA. In addition, we note that the time required to run a FACS yield sort for nuclei when processing multiple samples would require all nuclei samples to remain on ice for hours, while other samples are being sorted. Thus, increased wait times when processing multiple samples in parallel with the FACS approach could also likely lead to overall reduced nuclei quality and increase the risk of RNA degradation. Thus, if FACS is desired for reduced doublet rate, we recommend that debris content should be checked again after the yield sort and that possible reduced RNA quality be taken into account for single cell RNA-seq applications as a potential caveat.
An accurate estimate of nuclei counts and singlet proportion is essential for nearly all downstream "omics" applications and is of the utmost importance. Due to the ability to easily gate and count nuclei by size, flow cytometry is the most accurate method of counting nuclei that we have assessed. Alternatively, one may quantify nuclei using cell counters such as Invitrogen's Countess 2 FL Automated Cell Counter or the DeNovix CellDrop Automated Cell Counter. To note, Invitrogen's Countess 2 FL Automated Cell Counter, and to a much lesser extent the DeNovix, tend to overestimate nuclei counts by counting debris as nuclei, which means that manual size gating may be required. Furthermore, the flow cytometer allows one to easily assess the purity of the nuclei. One can discern the relative proportion of singlet versus multiplet nuclei in a quantitative manner that is difficult by microscopy. This is vital for snRNA-seq and snATAC-seq, since those protocols will suffer from a surplus of multiplet samples, which must be excluded from downstream analyses. In addition to multiplets, the relative proportion of "debris" (fragmented nuclei, cellular debris) can be quantified by flow cytometry and must be relatively low, since this material often contains contaminating nucleic acids that can contribute a background signal and corrupt single nucleus "omics" data.
As with previously described nuclei isolation protocols, the proportions of cell types in the original tissue may not be recapitulated faithfully in the nuclei prep19, and thus should be interpreted with caution. To note, like all teleosts, African turquoise killifish have nucleated erythrocytes, which are also expected to be represented in the nuclei prep. These nuclei can be identified in snRNA-seq and snATAC-seq datasets by the higher expression/accessibility of hemoglobin genes and may be excluded computationally if desired.