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Enhanced Coverage of Insect Neuropeptides in Tissue Sections by an Optimized Mass-Spectrometry-Imaging Protocol
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Enhanced Coverage of Insect Neuropeptides in Tissue Sections by an Optimized Mass-Spectrometry-Imaging Protocol
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Analytical Chemistry

Cite this: Anal. Chem. 2019, 91, 3, 1980–1988
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https://doi.org/10.1021/acs.analchem.8b04304
Published January 3, 2019

Copyright © 2019 American Chemical Society. This publication is licensed under these Terms of Use.

Abstract

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Mass spectrometry imaging (MSI) of neuropeptides has become a well-established method with the ability to combine spatially resolved information from immunohistochemistry with peptidomics information from mass spectrometric analysis. Several studies have conducted MSI of insect neural tissues; however, these studies did not detect neuropeptide complements in manners comparable to those of conventional peptidomics. The aim of our study was to improve sample preparation so that MSI could provide comprehensive and reproducible neuropeptidomics information. Using the cockroach retrocerebral complex, the presented protocol produces enhanced coverage of neuropeptides at 15 μm spatial resolution, which was confirmed by parallel analysis of tissue extracts using electrospray-ionization MS. Altogether, more than 100 peptide signals from 15 neuropeptide-precursor genes could be traced with high spatial resolution. In addition, MSI spectra confirmed differential prohormone processing and distinct neuropeptide-based compartmentalization of the retrocerebral complex. We believe that our workflow facilitates incorporation of MSI in neuroscience-related topics, including the study of complex neuropeptide interactions within the CNS.

Copyright © 2019 American Chemical Society
Neuropeptides are structurally diverse signaling molecules that control and regulate essential physiological functions in vertebrates and invertebrates, including growth, feeding, reproduction, and environmental-stress tolerance. A major source of neuropeptides is the central nervous system (CNS), where neuropeptides can act as transmitters or neuromodulators. Alternatively, neuropeptides can be produced in neurosecretory cells within the CNS and released as peptide hormones into circulation, mostly from neurohemal organs which function as hormone repositories. The large number of neuropeptides and neuropeptide receptors generally hamper decoding of coordinated peptide actions. Some neuropeptide precursors may result in mature peptides that activate different receptors (e.g. melanocyte-stimulating-hormone precursors of vertebrates and CAPA precursors of insects), (1−3) which further complicates the full recognition of neuropeptide actions.
Mass spectrometry has increasingly been used to analyze the neuropeptidome of the CNS, even to the single-cell level. (4,5) Although the aim of many of these approaches is to decipher neuropeptide relationships or compensation strategies, a number of limitations persist in the study of such complex neuropeptide interactions. In insects, which include notable model organisms in neuropeptide research, such as the fruit fly Drosophila melanogaster and the honeybee Apis mellifera, small tissue sizes, low peptide abundances, and complex cellular patterns of peptidergic neurons still necessitate the extensive use of immunohistochemistry (IHC) to complement neuropeptidomic studies. IHC has traditionally been used to investigate neuropeptide distributions in the CNSs of insects, but it has limited abilities for visualizing neuropeptides from different precursors in the same sample, even when using fluorochrome-coupled secondary antisera. IHC also usually fails to discriminate between sequence-related precursor products. In insects, this problem is evident for numerous RFamides, which are both processed from single precursors (up to 20 extended FMRFamides) and encoded by additional genes, such as myosuppressin, sulfakinin, short neuropeptide F, and long neuropeptide F. In this context, matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) could be an ideal alternative technique for studying the spatial distribution of neuropeptides in the nervous system. (6−8) MALDI-MSI been successfully employed for analyzing the brain peptides of crustaceans. (9,10) Few studies have so far used MALDI-MSI for the detection of insect neuropeptides, and the reported tissue preparations and spatial resolutions (30 μm and greater) are usually not sufficient to discriminate small structures within the insect nervous system. (11,12) A study using prototype MSI instrumentation examined lipid distributions in 20 μm D. melanogaster whole-body sections with pixel sizes ranging between 5 and 10 μm and also reported several mass matches with neuropeptides. (13) In all of these studies, however, mass spectra did not detect neuropeptide contents in a manner comparable to that obtained with the analysis of single dissected neurons or with direct tissue profiling. (5,14)
We investigated the suitability of MALDI-MSI for the analysis of neuropeptide distributions in the retrocerebral complex (RCC) of the American cockroach, Periplaneta americana, a model organism in neuropeptide research, and developed an optimized MSI protocol to analyze as much of the neuropeptidome as possible. The RCC is the major neuroendocrine organ in insects, comparable to the pituitary gland of vertebrates. A recent MALDI-MSI study was able to detect several neuropeptides in 30 year old paraffin-embedded RCC samples. (15) In comparison with insect brains, whose complexity hampers easy recognition of specific areas by MSI, the organization of the RCC is easier to reconstruct and facilitates reproducibility.
Figure 1 is an overview of the P. americana RCC and its connections to key neurological structures. The RCC consists of a pair of corpora cardiaca, which are fused posteriorly to a pair of corpora allata. Whereas the corpora allata synthesize sesquiterpenoids (juvenile hormones), the corpora cardiaca exclusively release peptide hormones. Each corpus cardiacum is subdivided antero-dorsally into a glandular part that produces the insect equivalent of glucagon, the adipokinetic hormones (AKHs); (16) the remaining parts of the corpora cardiaca serve as neurohemal release sites of numerous peptide hormones from the brain and subesophageal ganglion (SEG). These hormones reach the RCC via different nervi corporis cardiaci (NCC) and nervi corporis allati-2 (NCA-2). (17,18) Axons from NCA-2 as well as a number of axons from neurosecretory cells of the brain cross the corpora allata and contribute to neuropeptide detection along these glands. The RCC is connected to the stomatogastric nervous system (SNS) by way of the nervi cardiostomatogastrici (NCS). The products of a large number of neuropeptide genes of insects can be found in the RCC, (18−21) but the exact neuropeptide-based compartmentalization of the RCC is still largely unknown.

Figure 1

Figure 1. Overview of the P. americana RCC (dorsal view) and its junctions with brain and stomatogastric nervous system (SNS). The black line indicates the area of the brain from which come the nerves that supply the RCC with neurosecretion. Neurosecretory cells in the pars intercerebralis and pars lateralis of the protocerebrum are indicated by green and blue circles, respectively. Dotted lines represent the respective pathways leading to the nervi corporis cardiaci. NCC, nervus corporis cardiaci; NCA, nervus corporis allati; NCS, nervus cardiostomatogastricus; SEG, subesophageal ganglion.

Our data demonstrate the extent to which MALDI-MSI with commercially available instrumentation can be used to reconstruct the distribution of neuropeptides in an insect nervous system. With the described protocol, we obtained good coverage of the neuropeptides expected to be present in the RCC. In addition, the spatial distributions of further neuropeptides could be verified for the first time in the RCC.

Experimental Section

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Chemicals and Reagents

α-Cyano-4-hydroxycinnamic acid (CHCA) and peptide calibration standard II were purchased from Bruker Daltonik GmbH (Bremen, Germany). HPLC-grade ethanol and acetonitrile were obtained from Honeywell (Seelze, Germany). Trifluoroacetic acid (TFA) was purchased from Merck (Darmstadt, Germany). Standard food-grade gelatin purchased from local supermarkets (Dr. Oetker Gelatin, white; Bielefeld, Germany) was used in this study. An ELGA Purelab flex system (Veolia; Celle, Germany) was used to generate deionized water.

Animal Model and Sample Preparation

The animals in this study were treated pursuant to the Declaration of Helsinki. Cockroaches were raised and maintained at a constant temperature (28 ± 1 °C) under a 12 h light–dark cycle with free access to food and water. For experiments, adult cockroaches were kept at 4 °C for 30 min before RCCs were dissected in insect saline (126 mM NaCl, 5.4 mM KCl, 0.17 mM NaH2PO4, 0.22 mM KH2PO4; pH 7.4), rinsed in deionized water, and embedded in 100 mg/mL gelatin/water. The gelatin was dissolved in deionized water, heated to 80 °C for 5 min to ensure dissolution, and then kept at 50 °C to maintain viscosity. For tissue embedding, 400 μL of dissolved gelatin was poured into a handmade aluminum-foil mold with an 8 mm internal diameter and allowed to solidify at room temperature for at least 30 min. Subsequently, the RCCs were placed horizontally on the solidified gelatin and then slowly covered with 200 μL of gelatin at approximately 30 °C. The embedded tissue was snap-frozen at −50 °C immediately after. RCC samples were cryosectioned (−10 °C) at 14 or 20 μm thickness with a 10-degree blade angle on a Microm 550 cryostat (Thermo Fisher; Walldorf, Germany), and thaw-mounted onto indium tin oxide (ITO)-coated glass slides (Bruker Daltonik). Finally, the samples were stored at −80 °C until MSI measurement.
Prior to matrix application, the samples were removed from the freezer, brought to room temperature, dried in a nitrogen-rich environment using an ImagePrep device (Bruker Daltonik), and stored under vacuum (300 mbar). Following this, samples were either not washed at all or washed at room temperature in 70% (v/v) ethanol/water and 100% ethanol for 20 s each with an interval of five seconds drying time between each wash. The latter probes were dried again under vacuum (300 mbar) for 1 h at room temperature. After optical scanning (TissueScout; Bruker Daltonik), the sections were coated with 5 mg/mL CHCA dissolved in different ratios of acetonitrile/water/TFA using a SunCollect Dispenser System (SunChrom; Friedrichsdorf, Germany). The matrix was sonicated and filtered before being sprayed. SunChrom spray control software v2.5 was used to deposit eight layers of matrix using variable spray rates (10, 20, 30, 40, and 50 μL/min; three layers at 60 μL/min) at a speed of 900 mm/min. The line distance (Y-direction) was set to 2 mm, and the spray-nozzle height (Z-position) was 25 mm.

Immunohistochemistry

Samples were fixed in 4% paraformaldehyde diluted in phosphate-buffered saline (PBS, pH 7.2) at 4 °C for 30 min and subsequently washed three times in PBS for 30 min. The samples were preincubated with 5% normal goat serum dissolved in PBS for 30 min and then incubated for 12 h at 4 °C in rabbit anti-P. americana corazonin serum (1:4000, kindly provided by J. Veenstra) and mouse anti-Diploptera punctata allatostatin A-7 serum (1:200, 5F10 kindly provided by B. Stay) diluted in PBS. Following washing (3 × 30 min), the samples were incubated with goat anti-mouse Cy2 (1:500)- and goat anti-rabbit Cy3 (1:3000)-tagged secondary antibodies (Jackson Immuno Research; West Grove, PA) at 4 °C for 12 h. Finally, samples were mounted in Entellan and stored at 4 °C.

Image Processing

Immunostainings were examined with a confocal laser-scanning microscope (ZEISS LSM 510 Meta system; Jena, Germany), equipped with an Apochromat 10×/0.45W (NA 0.45) objective using the multitrack mode. Cy2 was excited at 492 nm and emission collected with a BP 505–530 filter, and Cy3 was excited at 543 nm and emission collected via a LP 560 BP filter. Serial optical sections, each 0.9 μm thick, were analyzed and assembled into combined images using the Zeiss LSM 5 image browser version 3. The final figures were exported and processed to adjust brightness and contrast with Adobe Photoshop 7.0 software (Adobe Systems; San Jose, CA).

Preparation of RCC Extracts

Extracts of P. americana RCC were prepared as described. (22) Briefly, a single P. americana RCC was extracted in 20 μL of solution containing 50% methanol/water and 1% formic acid. Extracts were sonicated for a few seconds and then centrifuged for 15 min at 13 000 rpm. Supernatants were transferred to fresh sample tubes (0.5 mL) and either used for Quadrupole Orbitrap MS or MALDI-TOF MSI. For MSI experiments, 0.3 μL of supernatant was deposited on an ITO glass slide and allowed to dry. Matrix was applied using the SunCollect sprayer as described for imaging experiments. This procedure was repeated three times to reduce batch effects, and the results were compared. The extract was measured as a single spectrum using the MSI-acquisition parameters as an imaged area (average of 50 pixels per area).

MALDI-Mass-Spectrometry Imaging

MALDI-MSI was performed using a rapifleX MALDI-TOF Tissuetyper mass spectrometer (Bruker Daltonik) in positive-ion-reflector mode over a mass range of m/z 600–3200, with a 15 μm laser-spot size and a 15 μm lateral step size. For each measurement position, 500 laser shots were accumulated using a Smartbeam 3D Nd:YAG (355 nm) at a frequency of 5000 Hz and a sample rate of 1.25 GS/s with baseline subtraction (TopHat) during acquisition. The instrument was calibrated using peptide-calibration standard II spotted onto the matrix-coated ITO glass slide, taking care that the spot did not obscure the tissue. Ion images were generated using flexImaging v. 5.0 and SCiLS Lab MVS software version 2018a (Bruker Daltonik) with the data normalized to the total ion count (TIC). Reduced data (Bruker DAT files) were uploaded and preprocessed for a time-of-flight (TOF) instrument in SCiLS and underwent spatial-segmentation analysis using a bisecting-k-means-with-correlation-distance approach. (23) The default pipeline was used with the following modifications: medium denoising and ±0.30 Da interval width. Ten RCC preparations with the corresponding sections (3–5 sections of each RCC preparation) were analyzed using the MSI protocol.

Quadrupole Orbitrap Mass Spectrometry

The RCC extract was analyzed with a Q-Exactive Plus (Thermo Fisher Scientific; Waltham, MA) as described. (24) Prior to injection, the sample was desalted using self-packed Stage Tip C18 spin columns. Using PEAKS 8.5 (PEAKS Studio, BSI; Waterloo, Canada) and MaxQuant (v. 1.6.2.10, MPI; Martinsried, Germany), MS2 spectra were compared to an internal database containing known P. americana neuropeptides (14) and the newly annotated neuropeptide-like precursor 1 (NPLP1, MH837510). For both pipelines, the maximum number of PTMs (sulfation of Tyr, C-terminal amidation, cystine formation, oxidation of Met and Trp, pyroglutamyl formation on Glu and Gln, and N-terminal acetylation of Lys) per peptide was set at five and no digestion mode was selected. For analyses using MaxQuant, the first-search peptide tolerance was set at 20 ppm, and the main-search peptide tolerance was set at 4.5 ppm. The false-discovery rate (FDR) was set to 0.01 for peptide-spectrum match, and only peptides with a P-score >60 were considered for manual inspection. For the peptide search using PEAKS, the parent-mass error tolerance was set at 10 ppm, and the fragment-mass error tolerance was set at 0.05 Da. FDR below 1% and fragment spectra with a peptide score (−10 log P) equivalent to a P-value of about 1% were selected and manually reviewed.

Statistics

Paired t tests were used to calculate the effects of different method parameters (GraphPad Prism (v. 5.04); San Diego, CA).

Results and Discussion

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Conceptualization of an Imaging Protocol for Insect-Neuropeptide Analysis

To yield as much neuropeptidomic information as possible, we tested different approaches for sample preparation utilized throughout the MALDI-MSI field (for a review, see Buchberger et al.). (7) As a guide, we used the neuropeptide complement from an RCC extract detected with the same setup for sample preparation (including the matrix sprayer, matrix composition, and matrix-application procedure) and MALDI-TOF (the same mass analyzer, ionization technique, sample-target device, and instrument settings) that were used for the imaging experiments. No significant degradations of peptides in any of our experiments were found, an obvious advantage of using insect-tissue samples. Analysis of the tissue extracts revealed 60 mature neuropeptides that could be assigned to 15 neuropeptide precursor genes of P. americana (Table S1). Assignment of ion signals to neuropeptides of P. americana was supported by MS2 data from quadrupole orbitrap analyses of an RCC extract (Figure S1). For our first MSI experiments with RCC sections, we adapted a protocol for MALDI imaging of the honeybee brain (11) but with a matrix sprayer for deposition of CHCA instead of a matrix spotter. This approach revealed peptidomic information that was much less comprehensive than that obtained from RCC extracts. In fact, only few abundant peptides were detected with weak spatial distributions (data not shown). Therefore, we re-evaluated each experimental step to reach an optimized MSI protocol suitable for comprehensive analysis of neuropeptides in RCC tissue sections (see also Figure S2).

Step 1: Dissection

To avoid excessive release of peptides during dissection, we used a cold saline solution during preparation of the RCC. Before embedding, the isolated RCC was washed in ice-cold deionized water for a few seconds to remove the saline solution and to avoid salt-crystal formation during the embedding–freezing steps. As a general rule, short dissection times of less than 5 min and strict avoidance of direct contact of the RCC tissue with the forceps resulted in more consistent mass spectra along the complete tissue sections. For the transfer, we used the nerves that leave the RCC toward the periphery.

Step 2: Embedding

The small size of the RCC (approximately 0.5 × 1 mm) made it necessary to embed the tissue prior to sectioning. Gelatin is an embedding substrate known to be compatible with MALDI-MSI. (9,25) Chen et al. used 100 mg/mL gelatin in water for MALDI-MSI of crustacean-brain neuropeptides; (9) this concentration also worked with the much smaller RCC tissue. We also tested gelatin concentrations ranging between 80 to 120 mg/mL without obtaining better results; sectioning quality decreased with lower gelatin concentrations, whereas the increased density of more concentrated gelatin reduced the ability to properly embed the samples. Accurate horizontal placement of the RCC, which consists of two mirror-imaged parts, facilitated quality control by comparison of peptide distribution in the two parts. We found that optimal positioning was achieved by using two layers of gelatin. The RCC was placed and oriented on the solid lower layer; any remaining water was carefully removed around the RCC by using a glass capillary before the sample was slowly covered with the fluid (warmer) gelatin.

Step 3: Cryosectioning

MSI of whole RCC has previously been reported, (12) but thicker tissues are not highly electrically conductive, which can result in poor spectra. (26) In addition, only peptides located at the outer margin of the RCC are likely to be analyzed when performing whole-tissue profiling combined with matrix spraying. In order to obtain uniform tissue sections with reproducible mass-spectrometry profiles, tests were performed using different section thicknesses (5–20 μm), cutting temperatures (−20 to −10 °C), and blade cutting angles (5–20°). The best section quality without folding or squeezing tissue sections was achieved with a blade angle of 10°, a temperature of −10 °C, and a tissue thickness of 14–20 μm; although cutting thinner sections was possible, it was more difficult to maintain tissue integrity. Tissue sections were serially collected on ITO glass slides using manual control of cutting pace and stored at −80 °C. For optimal peptide coverage in mass spectra, the samples were dried under vacuum at about 300 mbar for at least 12 h after defrosting. Shorter drying times (e.g., 1 h) decreased the peptide coverage significantly (p = 0.0006, Figure S3).

Step 4: Ethanol Washes of Tissue Sections

Neuropeptide analysis by MSI from crustacean neuronal tissues was reported without washing for whole tissues and sections prior to matrix application; (9) MSI of neuropeptides from whole Drosophila sections was performed without washing the tissue sections, but the complete animals were immersed in ethanol prior to sectioning. (13) The use of ethanol washes has been reported to remove lipids and salts that can interfere with peptide and protein signals. (11,27) We observed statistically significant lower neuropeptide coverage and strong interference from lipid species when washing was omitted (t test, p = 0.0004, Figure S4). Two consecutive ethanol washes using first 70% (v/v) ethanol/water followed by absolute ethanol for 20 s each provided the best coverage of neuropeptides in the samples (Figure S4). After washing, the sections were dried again for at least 1 h at 300 mbar to ensure removal of ethanol. The ethanol concentrations used in our MSI experiments have been reported for the detection of intact proteins (28) and slightly modified from those used in the detection of A. mellifera brain neuropeptides. (11,29) For the comparison of peptide coverage, we selected regions of interest (ROIs; 200 × 200 μm) within corpora allata tissue that showed more uniform peptidome in consecutive sections compared with other parts of the RCC. The average number of peptides identified within the ROIs was significantly higher for washed samples (10.63 ± 1.133, N = 8) than for samples prepared without washing steps (4.625 ± 0.7055, N = 8). The good neuropeptide coverage in the mass spectra obtained from the washed samples was accompanied by a slight decrease in the resolution of MSI ion maps. For those peptides that were detectable in sections without washing (e.g., pyrokinins), we therefore used both approaches in parallel. The obtained differences in resolution indicate a certain degree of delocalization of peptides during the washing. Therefore, further decreasing the laser-spot size or the size of the matrix crystals might have little effect in these samples.

Step 5: Matrix Application

We used CHCA, which is a matrix preferred for the detection of peptides and small proteins (30) and has been reported for detecting neuropeptides in MSI experiments on honeybee brains (11,29) and flatworms. (31) For high-spatial-resolution measurements, smaller matrix-crystal sizes are desirable as large crystals can lead to analyte spread and require more energy for ionization. (32) The spraying device employed in this study has previously been used for detecting small molecules, (33,34)N-glycans, tryptic peptides, (34) and insect neuropeptides. (11,29) The chosen parameters (spray rate, spray-head speed, spray-head distance from sample, and number of cycles) were selected on the basis of a combination of visual inspection of matrix deposition (size, even distribution, no convergence of droplets) during the cycles and analysis of peptide yields in subsequent mass-spectrometry experiments. For example, when altering spray speeds and rates, we ensured that the sprayed layers were completely dry before starting the next layer and compared how many neuropeptide signals were detected. In order to ensure reproducible results, an ITO glass slide was always coated with matrix to test the functionality of the sprayer. For that, the glass slide was weighed, coated with matrix, and weighed again to estimate the amount of deposited matrix. Coating of samples commenced if the matrix evenly covered the slide and weighed between 0.9–1.0 mg. The initial matrix composition, 5 mg/mL CHCA dissolved in 70% ACN/H2O with 0.1% TFA, was successively modified to 5 mg/mL in 50% ACN/H2O with 2% TFA. Increasing TFA concentrations resulted in higher neuropeptide signal intensities in the MSI spectra and a significant increase in peptide coverage (p = 0.0167, Figure S5). Using these spraying conditions, we obtained matrix crystals of about 20 μm, which corresponds roughly to the 15 μm laser-spot size used in our analyses. Smaller laser-spot sizes (5–10 μm) were tested but failed to generate a full peptidome in subsequent mass spectra.

High-Spatial-Resolution MALDI-MSI of Multicopy Peptides in the RCC

A number of mature insect neuropeptides are processed as multiple copies (paracopies) from precursor proteins. These paracopies are usually processed in equimolar ratios. Among the known cockroach neuropeptides present in the RCC, allatostatin A (AstA) peptides, extended FMRFamides (FMRFs), myoinhibitory peptides (MIPs), sulfakinins (SKs), kinins, and pyrokinins (PKs) have several paracopies ranging in number from two (SKs) to 21 (FMRFs). (14) These paracopies ideally show (1) constant relative signal intensities in the MSI spectra and (2) identical spatial distributions. Hence, analysis of paracopies in MSI spectra provides information regarding spectra quality.
MSI ion maps from a single section consistently verified similar distributions of the different FMRF paracopies, which all have specific sequences in P. americana (Figure 2A). The presence of FMRF ion signals was consistent in the mass spectra of the MSI tissue sections (Figure 2B) and the extract samples that had been spotted on ITO glass slides before being analyzed with the same MALDI-TOF equipment (Figure 2C). Analysis of all sections of single RCCs also revealed the overall distribution of these peptides along the RCC. It has to be noted that the distribution of FMRFs in the RCC was resolved, although these peptides showed low signal intensities in the mass spectra from the RCC extracts (Figure 2C).

Figure 2

Figure 2. FMRF paracopies in mass spectra from RCC preparations. (A) MSI from a single tissue section showing the distributions of four FMRFs, suggesting identical spatial distributions of these peptides in the RCC. Section: 20 μm, scale bar: 200 μm, ion-intensity bar: 100–20%. (B) Mass spectrum obtained by means of MSI. The analyzed spot is indicated in (A) by an arrow. (C) Mass spectrum obtained by means of MSI of an aliquot of an RCC extract spotted on an ITO glass slide. The matrix-spraying and MALDI-TOF equipment were exactly the same as those as used for (B). The accuracy of mass matching for peptide assignment was settled at ±0.25 Da.

Differential Distribution of Neuropeptides in the RCC–SNS

Subsequent to the confirmation that MSI spectra show reliable spatial distributions of neuropeptide paracopies, we analyzed the distributions of all mature neuropeptides detected in our MSI spectra. Altogether, we observed ion signals of 57 mature neuropeptides, a number that matches well the number of neuropeptide ion signals obtained by extract analysis (Table S1). The number of observed peptides exceeded 100 if additional precursor peptides (cleavage products without known functions) were included.
Figure 3 exemplarily shows neuropeptide distributions in two RCC sections. The local accumulation of peptides from various neuropeptide genes within the RCC differed dramatically and recalled some old neuroanatomical studies that described distinct axonal pathways within the seemingly uniform RCC. (35,36) The ion maps only partially matched the few available immunostainings depicting the distribution of neuropeptides in the RCC, but they correspond to the data obtained by direct tissue profiling of parts of the RCC and SNS. (37) A brief summary of the distribution patterns of neuropeptides in the RCC–SNS, as revealed by MSI, is given hereafter.

Figure 3

Figure 3. MALDI-MSI ion maps confirming the differential distribution within the RCC–SNS of neuropeptides from 12 different genes. (A) Pea-SK, m/z 1443.6 ± 0.25 Da, ion-intensity bar: 100–20%. (B) Myosuppressin (pQ), m/z 1257.6 ± 0.25 Da, ion-intensity bar: 100–20%. (C) Short neuropeptide F, m/z 1315.7 ± 0.25 Da, ion-intensity bar: 100–20%. (D) Kinin-1, m/z 949.5 ± 0.25 Da, ion-intensity bar: 100–40%. (E) MIP-2, m/z 1389.6 ± 0.25 Da, ion-intensity bar: 100–35%. (F) FMRF-15, m/z 1159.6 ± 0.25 Da, ion-intensity bar: 100–20%. (G) PK-3, m/z 996.6 ± 0.25 Da, ion-intensity bar: 100–20%. (H) NPLP-1, m/z 1585.8 ± 0.25 Da, ion-intensity bar: 100–20%. (I) Allatotropin, m/z 1366.7 ± 0.25 Da, ion-intensity bar: 100–20%. (J) AKH-1, m/z 973.5 ± 0.20 Da, ion-intensity bar: 100–10%. (K) Proctolin, m/z 649.4 ± 0.25 Da, ion-intensity bar: 100–20%. (L) CCAP, m/z 956.5 ± 0.25 Da, ion-intensity bar: 100–40% (see Figure 1 for an overview of the architecture of RCC–SNS). Scale bar (white): 600 μm, section thicknesses: (A–I) 20 μm and (J–L) 14 μm.

Myosuppressin and sk genes are both expressed in neurosecretory cells of the pars intercerebralis in the protocerebrum with projection into the RCC via NCC-1. The neuropeptides from these genes showed distinct accumulations within the RCC (Figure 3A,B) that were different from each other and from those of the other RFamide peptides, such as short neuropeptide F (Figure 3C), and FMRFs (Figure 3F). For kinins and MIPs, which were found by IHC in cells of the pars lateralis and pars intercerebralis, (18,38) we also observed different distribution patterns. Kinin accumulation was restricted to the corpora cardiaca, whereas MIPs were more abundant along the SNS (Figure 3D,E). As shown for PK-3, PKs were most abundant around the corpora allata (Figure 3G); a detailed description of the distribution of PKs is given in the following section on prohormone processing. The two AKH peptides, which are products of different genes, were restricted to the glandular antero-dorsal part of the RCC (Figure 3J). The only peptide entirely restricted to the SNS was proctolin (Figure 3K), whereas CCAP was observed in the neurohemal part of the corpora cardiaca only (Figure 3L).
We also observed the spatial distributions of neuropeptides not previously described by mass spectrometry in the RCC of P. americana, such as allatotropin (AT; Figures 3I and S6) and FMRFs (see above, Figure 2). AT showed a distribution different from all other neuropeptides. Prominent ion signals were detected both in the SNS and in the corpora cardiaca but rarely in the corpora allata (Figure 3I). It is unknown how AT enters the RCC, but on the basis of the MSI information, it seems possible that AT reaches the corpora cardiaca through NCC-1. This assumption was substantiated by direct peptide profiling of isolated NCC-1 using conventional MALDI-TOF mass spectrometry (Figure S7). In addition to known cockroach peptides, multiple products of the neuropeptide-like precursor 1 (NPLP1), not reported in P. americana so far, could be identified. Peptides from NPLP1 precursors have been found in the CNS and RCC in several insects. (39−41) The mass signals of 13 NPLP1 peptides were detected with distributions mostly restricted to the neurohemal part of corpora cardiaca (Figures 3H and S1 and Table S1).
Corazonin and AstA peptides, both of which were detected using IHC in cells of the pars lateralis of the protocerebrum with projection via NCC-2 into the RCC, (42,43) showed different distribution patterns. Corazonin signals were highly abundant in the neurohemal part of the corpora cardiaca, the nervus cardiostomatogastricus, and adjacent parts of the SNS (Figure S6) but mostly not detectable along the corpora allata. This was the other way around with AstA signals, which were weak in the mass spectra of the neurohemal part of the corpora cardiaca but, in most preparations, distinct around the corpora allata and the posteriorly directed part of the SNS (nervus esophageus). These differences were not expected according to IHC analyses. We therefore performed AstA–corazonin IHC double staining on peripheral RCC sections with less complex axon pathways and compared the staining patterns with the MSI images from consecutive sections (Figure 4). The resulting data confirmed that AstA and corazonin indeed have different spatial distributions along the RCC (see also Figure S6).

Figure 4

Figure 4. Distribution of corazonin and AstA analyzed in serial RCC sections by (A) immunohistochemistry and (B) MSI (the more peripheral section). Data obtained by both methods confirmed the different spatial distributions of corazonin and AstA, which are produced in cells of the pars lateralis of the brain, along the RCC. Labeling on the RCC margin is likely due to autofluorescence (detached gelatin). Scale bar: 200 μm, section thickness: 20 μm. Ion-intensity bar: 100–20%. The accuracy of mass matching for peptide assignment was settled at ±0.25 Da.

Differential Prohormone Processing

An advantage of MSI is the capability of detecting differential prohormone processing. In P. americana, differential processing is only demonstrated for the PK precursor. Although the full set of PKs is processed in cell clusters of the SEG with projections to the RCC via NCA-2, few cells in the brain with projections into the RCC via NCC-1 do not process PK-1, and mass spectra of NCC-1, therefore, did not show ion signals of this PK. (44) MSI spectra from the RCC confirmed these data (Figure 5). In the anterior corpora cardiaca near the junction with NCC-1, all PKs except PK1 were detectable, whereas all PKs were prominent in the neurohemal part of the RCC near the entrance of NCA-2 and in the corpora allata.

Figure 5

Figure 5. (A) Ion maps of four PKs indicating differential processing of the PK precursor. (B) Four PKs detected in the posterior part of the RCC, which mostly contains PKs processed in cells of the SEG. (C) Anterior corpus cardiacum tissue, which receives neuropeptides from the brain, showing no PK-1 ion signals. Section thickness: 20 μm; scale bar: 200 μm; ion-intensity bar: 100–20%, except for m/z 883.5 (100–35%). The accuracies of mass matching for peptide assignment were settled at ±0.25 Da for PK-2, -3, and -4 and at ±0.001 Da for PK-1. Tissue sections were not washed with ethanol prior to matrix spraying.

Two of the PKs (PK-1 and PK-3) have ion signals with similar masses to those of sodium- and potassium-adduct ions of AKHs. In MALDI-TOF mass spectrometry, AKHs are represented only by these adducts, but ion maps verified that even a mass difference of only 0.2 Da was sufficient to discriminate between these peptides (Figure S8). A previous MSI study of whole RCC tissue showed similar ion-signal discrimination. (12)
Once the accuracy of our MSI analyses was confirmed, we tested a bioinformatic approach based on the information obtained in MSI experiments. Application of spatial-segmentation analysis to a single RCC section enabled the assignment of the main compartments within the RCC–SNS (Figure 6). These regions correspond to the corpora allata and adjoining nervi corporis allati-1, the corpora cardiaca glandular area, the corpora cardiaca neurohemal area, and the SNS. This result demonstrates statistical discrimination among the different areas, independent from any a priori knowledge. Interestingly, the neurohemal area within the corpora cardiaca is further differentiated in three subcompartments; an anterior part surrounding the glandular tissue of the corpora cardiaca, a posterior portion with nervi cardiostomatogastrici and adjoining tissue, and the portion of the corpora cardiaca located between these parts. The respective dendrogram shows that the latter two compartments are more closely related to each other than to the neuroglandular area or the SNS.

Figure 6

Figure 6. Spatial segmentation analysis of MSI data from a single RCC section. Different levels in the segmentation dendrogram represent distinct regions of the RCC corresponding to the corpora allata (CA) and nervi corporis allati-1 (NCA-1) and the glandular and neurohemal corpora cardiaca (CC). The neurohemal part of the corpora cardiaca is further subdivided into three subcompartments.

Conclusions

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This study provides an MSI workflow for analysis of neuropeptides in insect neuroendocrine tissues that results in a comprehensive neuropeptidome with high reproducibility, ion-signal quality, and spatial resolution. Seemingly minor changes of established protocols produced an overall view of neuropeptide distributions with high-spatial resolution using conventional MALDI-TOF mass-spectrometry equipment. Novelties included the distinct accumulation of different neuropeptides in the RCC–SNS, which even holds for neuropeptides produced in different cell populations within a cell cluster.
MSI experiments can potentially be incorporated in neuroscience-related topics such as complex changes in the neuropeptidome of insects that might be associated with development or adaptations induced by environmental stress (e.g., xenobiotics). The presented sample-preparation protocol can certainly be used for other MALDI-MSI instrumentation, including those with higher mass or spatial resolutions (e.g., MALDI-FT-ICR and AP-SMALDI-Orbitrap). Enhanced lateral resolution may be possible particularly in combination with spraying devices that result in smaller matrix-crystal sizes or sublimation/re-extraction procedures. (45−47) Commonly used washing steps prior to matrix application potentially result in analyte spreading and therefore might neutralize attempts to obtain better lateral resolution. For RCC tissue, alternative tests without washes are rewarding, given that the peptide of interest is detectable with spatial resolution. If peptidomics information needs to include more extensive neuropeptide complement, washing steps are indispensable. In this context, the experiments presented in this study may serve as a guide when starting with other tissue preparations.

Supporting Information

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The Supporting Information is available free of charge on the ACS Publications website at DOI: 10.1021/acs.analchem.8b04304.

  • List of mature neuropeptides from 15 precursor genes of P. americana; quadrupole orbitrap MS2 spectra of P. americana neuropeptides; workflow for MSI sample preparation optimized for insect neuroendocrine tissue (RCC); comparison of peptide coverage in tissue sections dried for 1 or 12 h before washing; comparison of peptide coverage in tissue sections with and without successive ethanol washes; comparison of peptide coverage in tissue sections after matrix spraying (5 mg/mL CHCA in 50% ACN/H2O) with matrix solution containing 0.1 or 2% TFA; distribution of allatostatinA-11, corazonin, and allatotropin in consecutive RCC sections; MALDI-TOF direct tissue profiling of a dissected nervus corporis cardiaci 1; and discrimination between mass-similar neuropeptides (PDF)

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Author Information

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  • Corresponding Authors
  • Authors
    • Sander Liessem - Department for Biology, Institute of Zoology, University of Cologne, 50674 Cologne, GermanyOrcidhttp://orcid.org/0000-0002-7073-2659
    • Michael Becker - Bruker Daltonik GmbH, Fahrenheitstraße 4, 28359 Bremen, GermanyPresent Address: M.B.: Boehringer Ingelheim Pharma GmbH & Company KG, 88397 Biberach an der Riss, Germany
    • Sören-Oliver Deininger - Bruker Daltonik GmbH, Fahrenheitstraße 4, 28359 Bremen, Germany
  • Author Contributions

    A.L. and L.R. contributed equally. All authors contributed to the writing and have given approval to the final version of the manuscript.

  • Notes
    The authors declare the following competing financial interest(s): A.L. and S.O.D. were employees of Bruker Daltonik GmbH for the duration of this study. M.B. was an employee of Bruker for part of this study.

Acknowledgments

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This project was supported by a European Commission Horizon2020 Research and Innovation Grant 634361 (nEUROSTRESSPEP); the German Research Foundation (PR 766/11-1); and the Graduate School for Biological Sciences, Cologne (DFG-RTG 1960: Neural Circuit Analysis of the Cellular and Subcellular Level). We thank Susanne Hecht (Bruker Daltonik GmbH) for help in sample preparation.

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  • Abstract

    Figure 1

    Figure 1. Overview of the P. americana RCC (dorsal view) and its junctions with brain and stomatogastric nervous system (SNS). The black line indicates the area of the brain from which come the nerves that supply the RCC with neurosecretion. Neurosecretory cells in the pars intercerebralis and pars lateralis of the protocerebrum are indicated by green and blue circles, respectively. Dotted lines represent the respective pathways leading to the nervi corporis cardiaci. NCC, nervus corporis cardiaci; NCA, nervus corporis allati; NCS, nervus cardiostomatogastricus; SEG, subesophageal ganglion.

    Figure 2

    Figure 2. FMRF paracopies in mass spectra from RCC preparations. (A) MSI from a single tissue section showing the distributions of four FMRFs, suggesting identical spatial distributions of these peptides in the RCC. Section: 20 μm, scale bar: 200 μm, ion-intensity bar: 100–20%. (B) Mass spectrum obtained by means of MSI. The analyzed spot is indicated in (A) by an arrow. (C) Mass spectrum obtained by means of MSI of an aliquot of an RCC extract spotted on an ITO glass slide. The matrix-spraying and MALDI-TOF equipment were exactly the same as those as used for (B). The accuracy of mass matching for peptide assignment was settled at ±0.25 Da.

    Figure 3

    Figure 3. MALDI-MSI ion maps confirming the differential distribution within the RCC–SNS of neuropeptides from 12 different genes. (A) Pea-SK, m/z 1443.6 ± 0.25 Da, ion-intensity bar: 100–20%. (B) Myosuppressin (pQ), m/z 1257.6 ± 0.25 Da, ion-intensity bar: 100–20%. (C) Short neuropeptide F, m/z 1315.7 ± 0.25 Da, ion-intensity bar: 100–20%. (D) Kinin-1, m/z 949.5 ± 0.25 Da, ion-intensity bar: 100–40%. (E) MIP-2, m/z 1389.6 ± 0.25 Da, ion-intensity bar: 100–35%. (F) FMRF-15, m/z 1159.6 ± 0.25 Da, ion-intensity bar: 100–20%. (G) PK-3, m/z 996.6 ± 0.25 Da, ion-intensity bar: 100–20%. (H) NPLP-1, m/z 1585.8 ± 0.25 Da, ion-intensity bar: 100–20%. (I) Allatotropin, m/z 1366.7 ± 0.25 Da, ion-intensity bar: 100–20%. (J) AKH-1, m/z 973.5 ± 0.20 Da, ion-intensity bar: 100–10%. (K) Proctolin, m/z 649.4 ± 0.25 Da, ion-intensity bar: 100–20%. (L) CCAP, m/z 956.5 ± 0.25 Da, ion-intensity bar: 100–40% (see Figure 1 for an overview of the architecture of RCC–SNS). Scale bar (white): 600 μm, section thicknesses: (A–I) 20 μm and (J–L) 14 μm.

    Figure 4

    Figure 4. Distribution of corazonin and AstA analyzed in serial RCC sections by (A) immunohistochemistry and (B) MSI (the more peripheral section). Data obtained by both methods confirmed the different spatial distributions of corazonin and AstA, which are produced in cells of the pars lateralis of the brain, along the RCC. Labeling on the RCC margin is likely due to autofluorescence (detached gelatin). Scale bar: 200 μm, section thickness: 20 μm. Ion-intensity bar: 100–20%. The accuracy of mass matching for peptide assignment was settled at ±0.25 Da.

    Figure 5

    Figure 5. (A) Ion maps of four PKs indicating differential processing of the PK precursor. (B) Four PKs detected in the posterior part of the RCC, which mostly contains PKs processed in cells of the SEG. (C) Anterior corpus cardiacum tissue, which receives neuropeptides from the brain, showing no PK-1 ion signals. Section thickness: 20 μm; scale bar: 200 μm; ion-intensity bar: 100–20%, except for m/z 883.5 (100–35%). The accuracies of mass matching for peptide assignment were settled at ±0.25 Da for PK-2, -3, and -4 and at ±0.001 Da for PK-1. Tissue sections were not washed with ethanol prior to matrix spraying.

    Figure 6

    Figure 6. Spatial segmentation analysis of MSI data from a single RCC section. Different levels in the segmentation dendrogram represent distinct regions of the RCC corresponding to the corpora allata (CA) and nervi corporis allati-1 (NCA-1) and the glandular and neurohemal corpora cardiaca (CC). The neurohemal part of the corpora cardiaca is further subdivided into three subcompartments.

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  • Supporting Information

    Supporting Information


    The Supporting Information is available free of charge on the ACS Publications website at DOI: 10.1021/acs.analchem.8b04304.

    • List of mature neuropeptides from 15 precursor genes of P. americana; quadrupole orbitrap MS2 spectra of P. americana neuropeptides; workflow for MSI sample preparation optimized for insect neuroendocrine tissue (RCC); comparison of peptide coverage in tissue sections dried for 1 or 12 h before washing; comparison of peptide coverage in tissue sections with and without successive ethanol washes; comparison of peptide coverage in tissue sections after matrix spraying (5 mg/mL CHCA in 50% ACN/H2O) with matrix solution containing 0.1 or 2% TFA; distribution of allatostatinA-11, corazonin, and allatotropin in consecutive RCC sections; MALDI-TOF direct tissue profiling of a dissected nervus corporis cardiaci 1; and discrimination between mass-similar neuropeptides (PDF)


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