The protocol presented here enables one experimenter to isolate secondary cells from Drosophila male accessory glands and to extract their RNA in the course of one single day (Figure 1).
We use the Abd-B-GAL4 construct18 to label secondary cells (SC) but not main cells (MC) with GFP (Figure 2A). One objective of this procedure is to obtain the wild type transcriptome of SCs (wild type is written with inverted commas since they are obtained from transgenic flies expressing GFP and GAL4). Another objective is to obtain SC RNA through a fast and easy procedure that allows studying their gene expression in different conditions. Thus, we performed this procedure using wild type and "iab-6cocuD1" mutants that carry a 1.1 kb deletion removing the enhancer of Abd-B responsible for SC expression. This deletion also removes the promoter of MSA, an important transcript for secondary cells development, morphology and function18,20 (Figure 2B,C). This protocol was repeated thrice with 2 genotypes each time to obtain biological triplicates (hereafter referred as WT-1,-2,-3 for the wild type and D1-1,-2 and -3 for the iab-6cocuD1).
This protocol allows MC and SC dissociation from Drosophila accessory glands in a few hours (Figure 2D). Both cell populations are then sorted in two different tubes to isolate MCs and SCs. The gating strategy for FACS is show in Figure 2E-2G. Draq7 allows estimating cell viability around 70% for the whole sample (Figure 2F). The singlets represent over 90% of the SC population, and over 80% of the MC population, as estimated by FSC-A vs FSC-H and SSC-H vs SSC-W. (see Figure 2H). This reflects an efficient dissociation. Around 10% of sorting events were aborted because another cell or debris was present in the same FACS droplet. From 40 males, we typically collect 550 SCs and 1,000 MCs and then interrupt sorting. From 1 sample (out of 6), we could not reach 550 secondary cells. The WT-1 sample was thus obtained from only 427 SC but provided RNA of similar quality and quantity as others.
Cells are sorted into lysis buffer (containing proteinase K). As soon as all samples are ready, RNAs are extracted from each cell sample in order to have RNA pellets at the end of the day. Quality and quantity of RNAs are estimated using a Bioanalyzer with an appropriate chip to deal with low concentrations and small volumes. Because estimated concentrations were variable between samples (ranging from over 1,300 pg/µL down to 344 pg/µL, see Figure 3A), we adjusted the starting material for both RT-qPCR and cDNA library synthesis to roughly 2 ng (measured concentrations are not highly accurate). We quantified the expression of specific genes by real time qPCR on wild type MC and SC extracts to control for the identity of the cell populations we sorted. Figure 3B shows gene expression as relative quantifications normalized to alpha-tubulin expression. Housekeeping genes like 18S rRNA and alpha-tubulin are detected in all samples, as expected. Quite the contrary, the SC gene Rab19 is detected only from SC extracts, and the MC gene Sex Peptide is detected only from MC. We note that Rab19 expression in iab-6cocuD1 mutant SC is low relative to wild type SC, suggesting that the expression of this gene is affected by the loss of Abd-B and MSA (consistently, the large Rab19-labeled vacuoles are lost in the iab-6cocuD1 mutant21). The secondary cell-specific transcript MSA is detected only from wild type SC and not from MC, nor from iab-6cocuD1 SCs, which was expected since MSA promoter is deleted in this mutant. Altogether, the QCs shown in Figure 3 demonstrate that RNAs obtained through this protocol are not degraded, and that both cell populations (SC and MC) are successfully sorted from accessory glands, in both wild type and mutant conditions. Only secondary cells' RNAs were sequenced here, but note that this procedure enables concomitant transcriptome profiling of both SCs and MCs.
RNA-sequencing was realized using standard procedures. Here, we will only discuss the quality control analyses that are pertinent for the purpose of this method. When sequences are obtained, the reads are mapped to the reference Drosophila genome, attributed to genes, and normalized. PCA (Principal Component Analysis) was performed on the 6 samples (3 wild type and 3 iab-6cocuD1 replicates). As much of the variability in the data as possible is accounted for in PC1, and as much of the remaining variability is accounted for in PC2.As shown in Figure 4A, the wild type replicates cluster close together, and far from Iab-6cocuD1 samples. This shows that WT samples are more similar to each other than they are from mutant ones. This illustrates the method reproducibility and its ability to detect abnormal genetic program from mutant secondary cells. While D1-2 and D1-3 samples cluster together, we note that the D1-1 sample is quite divergent. Since all QCs for this replicate are good and comparable to all other replicates, we can exclude a sample preparation issue (29 million reads in total, >76% of which align uniquely to the reference genome. Among those, >77% are attributed to a gene, >90% are mRNAs, and <3% are rRNA). This divergence could reflect that gene expression in SC is unstable in iab-6cocuD, although testing this hypothesis would require more replicates.
Visualizing reads aligned to particular genes on the genome allows for a visual estimation of the data quality. Figure 4 shows a selection of genes, with reads from 1 representative replicate for each genotype. Unsurprisingly, housekeeping genes such as Act5C are expressed in both genotypes (Figure 4B), as well as the SC-specific genes Rab19 and Dve (Figure 4C,D). The lack of intronic reads confirms that polydT selectively primed reverse transcription from mature spliced mRNAs for cDNA library preparation. Notably, we can see important and significant variations in the expression of specific genes between wild type and iab-6cocuD1 SC. This is exemplified in Figure 4E by the MSA gene whose strong expression in wild type is lost in iab-6cocuD1. MSA is presented as a proof of principle that this method enables identifying genes that are mis-regulated in mutant conditions. This will help understanding the phenotypes observed in this mutant, and might give new insights into normal secondary cells functions.

Figure 1: Overview of the protocol. Key steps of the protocol are shown, with the timeline on the right side. This procedure allows one starting with live Drosophila in the morning to have dissociated accessory gland cells by noon, sort them based on GFP expression, and get their RNAs extracted by the end of the working day. RNA sequencing and data analysis will typically take a few weeks. This figure has been modified from reference27. Please click here to view a larger version of this figure.

Figure 2: Isolating and sorting GFP-expressing secondary cells. (A) Confocal image of Abd-B:GAL4 UAS-GFP accessory gland expressing GFP in secondary cells (SC), but not in main cells (MC). Nuclei are stained with DAPI (blue). Dotted white line delimits AG lobes. ED is Ejaculatory duct. White bars in the upper left corner are 50 µm scales. (B,C) Enlarged views of accessory gland distal part with SC expressing GFP, in wild type (B) and iab-6cocuD1 (C) background. (D) Dissociated cells at low magnification under the GFP binocular. (E-H) FACS gating strategy to purify SC and MC. Red dots on all panels shown SCs as defined in panel (G). First the debris are excluded (E, step 6.2.1) as well as the Draq-7 positive dead cells (F, step 6.2.2). GFP positive cells are selected (SC) as well as an homogeneous population of GFP negative cells (MC) (G, steps 6.2.4 and 6.2.5). Doublets are excluded from both MC and SC population (step 6.2.3, only the SSC-H vs SSC-W gating for SC is shown on 2H as an example). This figure has been modified from reference27. Please click here to view a larger version of this figure.

Figure 3: QC on RNAs: quality, quantity, and cell type specificity. (A) Control of RNA quality and concentration estimation on PicoChip. The 25 nt peak is the control for quantification. Low baseline indicates low degradation and the 2 major peaks are the ribosomal RNAs. The 3 samples used for RT-qPCR are shown, their quality is representative of all RNA samples used in this study, and their estimated concentrations reflect the variation in total RNA we obtained between samples. (B) RT-qPCR demonstrate the specificity of the sorting of secondary cells (SC) and main cells (MC). Gene expression quantification is done using the q=2(40-Cq) formula. Each triplicate of each gene in each condition is normalized to the mean quantity of alpha-Tubulin RNA to compensate for total RNA variation. Error bars show standard deviation. WT means wild type and D1 refers to the iab-6cocuD1 mutant. This figure has been modified from reference27. Please click here to view a larger version of this figure.

Figure 4: QC on RNA sequencing data. (A) Principal Components Analysis (PCA) on WT-1,-2,-3 (green dots) and D1-1,-2,-3 (blue dots) RNA sequencing datasets. (B-E) Sequencing reads mapped to the Drosophila reference genome using the IGV software. Only one representative sample of each genotype is shown for clarity sake (WT-1 and D1-2), and only a few specific loci are shown. Gene names are written on top of each panel, > and < symbols refer to their orientation. Numbers in brackets represent for each track the scale for the number of reads per DNA base pair. This scale is the same for both conditions for a given gene, but varies between genes for better visualization. Blue bars at the bottom of each panel show genes' introns (thin line), exons (wide line) and ORF (rectangles with >>). Note that Rab19 and Arl5 are overlapping, convergent genes (C). This figure has been modified from reference27. Please click here to view a larger version of this figure.
| Primers used for RT-qPCR in this study: |
| Target gene | Forward primer | Reverse primer |
| alpha-Tubulin | TTTTCCTTGTCGCGTGTGAA | CCAGCCTGACCAACATGGAT |
| 18S rRNA | CTGAGAAACGGCTACCACATC | ACCAGACTTGCCCTCCAAT |
| Rab19 | CAGGAGAGGTTTCGCACTATTAC | TTGGAAAAGGAAGACCGCTTG |
| Sex Peptide | GGAATGGCCGTGGAATAGGA | TAACATCTTCCACCCCAGGC |
| MSA | CTCATCTGCGTCTTCGCGTG | CAGCTCCGTTTGTAATCTCTCGAGC |
Table 1: Primers sequence