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An example of an imaged plate that has been taken through the fat staining workflow is shown in Figure 1. Specific controls for high fat (daf-2 insulin receptor RNAi), low fat (lpd-3 protein required for lipid storage granules in the gut RNAi), small and low fat (fasn-1 fatty acid synthase RNAi), and empty vector (control) show the variations in fluorescence intensity according to the fat levels of the animals, and the corresponding lipid amounts determined by GC/MS analysis (Figure 2). Note that gene inactivations leading to developmentally arrested, small animals will often appear to have much lower fat than adult control animals, irrespective of any connection to fat metabolism (Figure 3). Secondary analyses, including staining analysis and lipid biochemistry with SPE-GCMS of wild-type control animals of a similar developmental stage must be done to ensure the validity of small or developmentally arrested positive hits. In the case of fasn-1 RNAi (Figure 2), animals arrest in either the L2 or L3 larval stage, and have fat staining lower than adult control RNAi, but similar in abundance to L2-L3 stage control RNAi animals (fat stain percent of adult control RNAi: 49.9 ± 4.5% for fasn-1 RNAi and 20.2 ± 2.1% for L2 control RNAi, and 64.7 ± 1.3 for L3 control RNAi). Alternatively, biochemical analysis indicated a lower TAG/PL ratio than L2 stage matched N2 control animals (TAG/PL: 22.5 ± 2.9 for fasn-1 RNAi and 46.1 ± 3.4 for stage-matched control RNAi, P ≤ 0.05). Thus in this instance it can be confirmed by biochemical analysis that fasn-1 has a role in lipid storage rather than just a stage-specific reduction in fat mass.
The follow-up analysis of imaged worms relies heavily on a computational platform such as Cell Profiler using the WormToolbox30. For smaller numbers of images, a publicly available image analysis platform such as ImageJ, freely available from the NIH, may be used. For our analysis, unique Matlab scripts were used first to identify the well, and subsequently to exclude empty wells or those with bubbles, and distinguish small debris from worms. Manual quality control was necessary for images flagged for exclusion for the reasons mentioned above. We found empirically that 90th percentile intensity of worm pixels across a well, normalized to worm area across a well, provided consistent metric of staining intensity at all stages of worm development (Figure 3). Integrating total fat mass over the area of the worm, on the contrary, would tend to score small bright worms equivalently with large dim worms. Because our method does not integrate total fluorescent signal over the area of the worm, in taking an intensity percentile, changes in worm size per se do not bias the intensity measured. Instead, differences in the pixel intensity distribution are measured. However, in spite of this, pronounced differences are seen in staining pixel intensity distribution between animals of different developmental stages, so it is important to study the effect of RNAi to any gene against animals of a comparable developmental stage (Figure 3). Average variability between replicates is shown in Figure 4 indicating high reproducibility of the fat staining method. Note that the strength of the method is highly dependent on obtaining quality images for each plate, under uniform illumination conditions, using identical exposure times, and with minimal bubbles, debris, or crossover of worms into other wells.
SPE was performed on pre-mixed, purified standards to determine the degree to which TAGs could be separated from PLs (Figure 5A). In this analysis, we achieved a 100% separation of TAG and PL, indicated as a complete absence of 17:0 fatty acids derived from PL in the TAG sample and a corresponding complete absence of 13:0 fatty acids derived from TAG in the PL sample (Figure 5A). Thus SPE is highly efficient at separating lipid classes. This analysis does not indicate that all TAGs of different chain lengths will be purified equivalently by SPE and detected by GCMS with similar efficiency. It only assures that TAG and PL lipids in total are completely separated from each other.
A sample GC-MS trace of N2 wild type animals taken through solid phase extraction and FAME preparation is shown in Figure 5B. For both TAG and PL, peaks can be identified based upon retention time and parent and daughter ions on the mass spectrum, and the total area under the identified peaks normalized to the area of the respective internal standards. To determine the normalized amount of TAG, the area under all peaks of the TAG chromatogram, except the 13:0 standard, were added together and divided by the area under the 13:0 peak. Likewise, to determine the normalized total PL amount, the area under all peaks, except the 17:0 standard, were added together and divided by the area under the 17:0 peak. The normalized values for the TAG and PL samples are then used to calculate the final TAG/PL ratio for the sample:

It should be noted that the data from SPE-GCMS permit a much more sophisticated analysis of fatty acids present in each lipid fraction than simple calculation of the total TAG to PL ratio. For example, the investigator can integrate a single peak corresponding to a single fatty acid and compare its normalized abundance across samples (e.g. comparing in N2 wild-type versus daf-2 RNAi the integrated area of the 18:0 peak divided by the 13:0 standard peak, normalized to total PL mass divided by PL 17:0 standard peak area):

Should the investigator choose, it would also be possible to determine the percentage of any given fatty acid in the TAG or PL fractions as a percentage of the total amount of fatty acid quantitated (as an example 18:0 in the TAG fraction in N2 worms):


Figure 1. Typical workflow for the overall experiment. Day 1, frozen RNAi library plates are stamped onto Amp/Tet LB agar plates and incubated at 37 °C. Day 2, Amp/Tet plates are used to seed liquid cultures of RNAi clones in deep well blocks. Day 3, bacteria are concentrated by centrifugation and transferred to 96-well RNAi plates. Day 4, L1 hatchling C. elegans are added to RNAi plates in liquid and allowed to dry. Day 7, animals are collected in liquid, stained with Nile red in 40% isopropanol, mounted on 96-well Teflon slides, and imaged with a high-throughput microscope.

Figure 2. Fixative-based Nile red stains major C. elegans fat stores. Representative bright field and GFP fluorescence images are shown of N2 worms fed on fasn-1 (small, low fat), lpd-3 (low fat), control (empty vector), or daf-2 (high fat) RNAi clones. Samples were processed as per the protocol (schematic in Figure 1). Animals fixed, stained in Nile red, and imaged result in comparable lipid levels as obtained from biochemical lipid measurement. Isopropanol-fixed Nile red fluorescence levels, acquired from at least 6 biological replicates, are shown in the first row. Quantitative triglyceride levels, reflective of overall neutral lipid stores when normalized to overall phospholipid levels (TAG/PL), taken from 4 biological replicates, are shown in the second row. It is important to note that the absolute quantitation achieved from fixative Nile red staining and biochemical lipid determination often do not match perfectly. In this instance, though qualitatively similar, fasn-1(RNAi) has more different triglyceride mass vs. control by biochemical methods than indicated by microscopy, lpd-3 is comparably different, and daf-2(RNAi) is less different, though all differences are highly statistically significant and measurements were highly reproducible. Data shown are mean ± SEM (*, P ≤0.01; **, P ≤ 0.0001 relative to control, determined by unpaired, two-tailed T-test assuming equal variance).

Figure 3. Fat mass determined by fixation Nile red staining at different larval stages. Animals were grown on OP50 bacteria and collected at the L1, L2, L3, L4 and gravid adult developmental stages. Images were captured following fixation staining and analyzed using a customized Matlab script to determine the 90th percentile of pixel intensity over the identified worm area. Note that the lipid levels of animals greatly increase as the animal develops from L2 to L4 stage, and then decrease slightly as the animal begins to divert calories toward the proliferation of the germline in the adult stage. Data shown are mean ± SEM for 6-8 replicates (**, P ≤ 0.0001 relative to gravid adult, determined by unpaired, two-tailed T-test).

Figure 4. High reproducibility across independent biological replicates. Shown is a scatter plot of Nile red fluorescence intensities across biological replicates (n = 6-8). For each replicate, all values are normalized to the mean intensity of the empty vector controls. Data shown are mean ± SEM (**, P ≤ 0.0001 relative to control, determined by unpaired, two-tailed T-test assuming equal variance).

Figure 5. GC-MS chromatograms of SPE separated standards and wild type TAG and PL abundance. (A) GC-MS traces are shown of the SPE separation of TAG and PL standards. Note the complete absence of 13:0 fatty acid in the PL trace and the corresponding absence of the 17:0 fatty acid in the TAG trace, indicating complete separation of TAG (tritridecanoin) from PL (1,2-diheptadecanoyl-sn-glycero-3-phospho-(1'-rac-glycerol)). (B) A representative full spectrum of TAG and PL from a sample of N2 wild type animals fed vector control RNAi (HT115 bacteria with L4440 empty vector RNAi). One microliter of sample was injected into an Agilent 6890/5973N GCMS according to the protocol, and individual peaks were identified by retention time and their respective mass spectra. Abbreviations: cyclo, cyclopropane fatty acid; iso: iso-methyl branched chain fatty acid; GLA, gamma linolenic acid; ALA, alpha linolenic acid; DGLA, dihomo gamma linolenic acid; EPA, eicosapentaenoic acid. Click here to view larger figure.