fluorescent analysis of boar sperm capacitation process in

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METHODOLOGY Open Access Fluorescent analysis of boar sperm capacitation process in vitro Lukas Ded 1*, Pavla Dostalova 1, Eva Zatecka 1 , Andrej Dorosh 1 , Katerina Komrskova 1,2 and Jana Peknicova 1 Abstract Background: Capacitation involves physiological changes that spermatozoa must undergo in the female reproductive tract or in vitro to obtain the ability to bind, penetrate and fertilize the egg. Up to date, several methods have been developed to characterize this complex biological process. The goal of the presented study is to mutually compare several fluorescent techniques, check their ability to detect changes in molecular processes during the capacitation progress and determine their ability to predict the percentage of acrosome reacted (AR) sperm after the exposure to solubilized zona pellucida (ZP). The capacitation process was analyzed using four fluorescent techniques: 1. chlortetracycline (CTC) staining, 2. anti-acrosin antibody (ACR.2) assay, 3. anti-phosphotyrosine (pY) antibody assay, 4. fluorescein isothiocyanate-conjugated phalloidin (FITC-phall) assay. All these methods were tested using fluorescent microscopy and flow cytometry. Results: All selected methods are capable to detect the capacitation progress of boar sperm in vitro, but there are significant differences in their outcome when using fluorescent microscopy or flow cytometry experimental arrangements and subsequent statistical analysis (KW-ANOVA). Also, the ability to predict the absolute numbers of sperm which will undergo ZP-induced AR differ significantly (CTC and ACR.2 gave the best predictions). Conclusions: Our study compared four largely used methods used to characterize capacitation process, highlighted their differences and showed that all are able to detect capacitation progress, CTC and ACR.2 are furthermore able to accurately predict the percentage of AR sperm after ZP-induced AR. Keywords: Acrosome reaction, Fluorescent microscopy, Flow cytometry, Chlortetracycline assay, Tyrosine phosphorylation, Acrosin staining, Phalloidin staining Introduction Capacitation is a physiological process that spermatozoa must experience in the female reproductive tract or in vitro to obtain the ability to bind, penetrate and fertilize the egg [13]. The capacitation is based on many molecular pro- cesses including changes in the intracellular calcium con- centration [4], rearrangement of the acrosomal matrix [5], rearrangement of the sperm cytoskeleton [68], phosphor- ylation of sperm proteins [9, 10] and changes in the sperm plasma membrane [11]. Since the discovery of capacitation, several methods have been developed to characterize this complex bio- logical process. There are four major fluorescent methods, to be mentioned, and they all target different sperm char- acteristics: 1. CTC method detects the redistribution of the intracellular calcium in the sperm head during capaci- tation [12, 13]; 2. ACR.2 recognizes the rearrangement of the acrosomal matrix by detecting changes in the accessi- bility of acrosin epitopes. The higher accessibility of the acrosin epitopes is a significant marker of capacitation progress [14]; 3. FITC-phall) binds to F-actin, as actin polymerization significantly increases during capacitation progress [15]; 4. Fluorescein isothiocyanate-conjugated antibodies, such as anti-phosphotyrosine (pY) antibody (anti-pY), detecting a capacitation dependent phosphoryl- ation of various proteins [16, 17]. All accounted methods can be used in various experi- mental protocols, e.g. CTC in fluorimetry, ACR.2 in ELISA, anti-Y in western blot etc. Fluorescent analysis is a general method suitable for all detection procedures and generally, there are two ways to perform fluorescent © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. * Correspondence: [email protected] Lukas Ded and Pavla Dostalova contributed equally to this work. 1 Laboratory of Reproductive Biology, Institute of Biotechnology, Czech Academy of Sciences, BIOCEV, Vestec, Czech Republic Full list of author information is available at the end of the article Ded et al. Reproductive Biology and Endocrinology (2019) 17:109 https://doi.org/10.1186/s12958-019-0554-z

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Page 1: Fluorescent analysis of boar sperm capacitation process in

METHODOLOGY Open Access

Fluorescent analysis of boar spermcapacitation process in vitroLukas Ded1*† , Pavla Dostalova1†, Eva Zatecka1, Andrej Dorosh1, Katerina Komrskova1,2 and Jana Peknicova1

Abstract

Background: Capacitation involves physiological changes that spermatozoa must undergo in the femalereproductive tract or in vitro to obtain the ability to bind, penetrate and fertilize the egg. Up to date, severalmethods have been developed to characterize this complex biological process. The goal of the presented study isto mutually compare several fluorescent techniques, check their ability to detect changes in molecular processesduring the capacitation progress and determine their ability to predict the percentage of acrosome reacted (AR)sperm after the exposure to solubilized zona pellucida (ZP). The capacitation process was analyzed using four fluorescenttechniques: 1. chlortetracycline (CTC) staining, 2. anti-acrosin antibody (ACR.2) assay, 3. anti-phosphotyrosine (pY) antibodyassay, 4. fluorescein isothiocyanate-conjugated phalloidin (FITC-phall) assay. All these methods were tested using fluorescentmicroscopy and flow cytometry.

Results: All selected methods are capable to detect the capacitation progress of boar sperm in vitro, but there aresignificant differences in their outcome when using fluorescent microscopy or flow cytometry experimental arrangementsand subsequent statistical analysis (KW-ANOVA). Also, the ability to predict the absolute numbers of sperm which willundergo ZP-induced AR differ significantly (CTC and ACR.2 gave the best predictions).

Conclusions: Our study compared four largely used methods used to characterize capacitation process, highlighted theirdifferences and showed that all are able to detect capacitation progress, CTC and ACR.2 are furthermore able to accuratelypredict the percentage of AR sperm after ZP-induced AR.

Keywords: Acrosome reaction, Fluorescent microscopy, Flow cytometry, Chlortetracycline assay, Tyrosine phosphorylation,Acrosin staining, Phalloidin staining

IntroductionCapacitation is a physiological process that spermatozoamust experience in the female reproductive tract or in vitroto obtain the ability to bind, penetrate and fertilize the egg[1–3]. The capacitation is based on many molecular pro-cesses including changes in the intracellular calcium con-centration [4], rearrangement of the acrosomal matrix [5],rearrangement of the sperm cytoskeleton [6–8], phosphor-ylation of sperm proteins [9, 10] and changes in the spermplasma membrane [11].Since the discovery of capacitation, several methods

have been developed to characterize this complex bio-logical process. There are four major fluorescent methods,

to be mentioned, and they all target different sperm char-acteristics: 1. CTC method detects the redistribution ofthe intracellular calcium in the sperm head during capaci-tation [12, 13]; 2. ACR.2 recognizes the rearrangement ofthe acrosomal matrix by detecting changes in the accessi-bility of acrosin epitopes. The higher accessibility of theacrosin epitopes is a significant marker of capacitationprogress [14]; 3. FITC-phall) binds to F-actin, as actinpolymerization significantly increases during capacitationprogress [15]; 4. Fluorescein isothiocyanate-conjugatedantibodies, such as anti-phosphotyrosine (pY) antibody(anti-pY), detecting a capacitation dependent phosphoryl-ation of various proteins [16, 17].All accounted methods can be used in various experi-

mental protocols, e.g. CTC in fluorimetry, ACR.2 inELISA, anti-Y in western blot etc. Fluorescent analysis isa general method suitable for all detection proceduresand generally, there are two ways to perform fluorescent

© The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, andreproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link tothe Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

* Correspondence: [email protected]†Lukas Ded and Pavla Dostalova contributed equally to this work.1 Laboratory of Reproductive Biology, Institute of Biotechnology, CzechAcademy of Sciences, BIOCEV, Vestec, Czech RepublicFull list of author information is available at the end of the article

Ded et al. Reproductive Biology and Endocrinology (2019) 17:109 https://doi.org/10.1186/s12958-019-0554-z

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analysis on a cellular level: 1. by fluorescent microscopyand 2. flow cytometry. The physiological acrosome reac-tion (AR) is triggered by glycolytic extracellular matrixof the egg called zona pellucida (ZP) [18].A standardize and reliable evaluation of capacitation

and the selection of a reliable detection methods is amethodological prerequisite for the quality assessmentof fertilizing potential of individual sperm and spermpopulation exposed to physiological or environmentalfactors. In our study, we focused in detailed on analyzingthe capacitation process of boar sperm through fluores-cent detection using both fluorescent microscopy andflow cytometry. The aim of this work was to assess theability of individual methods to detect relevant molecu-lar changes during sperm capacitation; to compare theiradvantages and disadvantages in order to select a suit-able method for evaluation of sperm capacitation and es-timate the potential of individual methods to predictsperm ability to undergo ZP triggered AR and subse-quently fertilize the oocyte.

Materials and methodsChemicalsAll chemicals were purchased from Sigma (Prague,Czech Republic) unless otherwise specified.

Sperm preparation, capacitation in vitro and zonapellucida-induced acrosome reactionBoar (Sus scrofa) ejaculates (20 ejaculates from 20 indi-vidual animals) were supplied by Insemination Station,Kout na Sumave, CR as chilled (17 °C) and diluted sam-ples [19]. All sperm samples were examined for motilityand viability (minimal parameters to include a sampleinto the analysis were 80% motility, 80% viability; the ac-tual variability of both parameters was not higher than5% among all samples included to the analysis), washedtwice in tris-buffered saline (TBS, 200 x g, 10 min), cen-trifuged on Percoll gradient (80, 70, 55, 40% Percoll, 200x g, 60 min) and washed in capacitation medium withoutbovine serum albumine (11.3 nM NaCl, 0,3 mM KCl, 1mM CaCl2, 2 mM TRIS, 1.1 mM glucose, 0.5 mM pyru-vate). Sperm were resuspended in capacitation mediumcontaining BSA (1 mg/mL) to concentration 5 × 107

sperm/ml. and suspension was incubated for 60, 120,180, 240min under paraffin oil at 37 °C, 5% CO2.After 240 min of incubation, selected samples incu-

bated for 240 min were treated by boar solubilized ZP(Czech University of Life Sciences, Prague, Czech Re-public) for 60 min (37 °C, 5% CO2) [18] to induce acro-some reaction. The percentage of acrosome reactedsperm was determined by staining the acrosomes withFITC-conjugated Pisum sativum agglutinin (PSA).

CTC and indirect immunofluorescence assaysThe CTC was performed as described previously [13]using the following protocol. After the capacitationprocess (60, 120, 180, 240min) sperm suspensions werecentrifuged at 200 x g, for 5 min; the capacitationmedium was removed and kept at − 20 °C. Sperm werere-suspended in phosphate-buffered saline (PBS) andmixed with equal volume (45 μl/45 μl) of CTC solution(750 mmol/l CTC in 130 mmol/l NaCl, 5 mmol/l cyst-eine, 20 mmol/l Tris-HCl, pH 7.8) and incubated for 30min. Cells were then fixed in 8 μl of 12.5% paraformalde-hyde in 0.5 mol/l Tris-HCl (pH 7.4). After incubation,sperm suspension was smeared onto a glass slide cov-ered by a cover slip. To avoid evaporation and CTC fad-ing, slides were kept in a dark wet chamber andimmediately evaluated.ACR.2 (Exbio 11–260-C100) immunofluorescent ana-

lysis was described previously [20]. After the capacitationprocess, sperm suspensions from all incubation times(60, 120, 180, 240 min) were centrifuged (200 x g, 5min); the capacitation medium was removed, and keptat − 20 °C. Sperm were re-suspended in equal volume ofphosphate-buffered saline (PBS), smeared onto glassslides, dried and kept at 4 °C. During fluorescent label-ling preparation, sperm slides were fixed with acetonefor 10 min, rinsed with PBS, treated with ACR.2 mono-clonal antibody (50 μg/ml), anti-pY antibody (Sigma-Al-drich P5872; 10 μg/ml) or FITC-phall (Sigma-AldrichP5282; 50 μg/ml) binding specifically to actin filaments,and incubated in a wet chamber for 60 min at 37 °C.After thorough washing in PBS, the ACR.2 and anti-pYsmears were treated with FITC-conjugated anti-mouseIgG antibody (Sigma-Aldrich F0257; 1:500) and incu-bated in a wet chamber for 60 min at 37 °C. After wash-ing in PBS and water, smears were mounted by theVectashield mounting medium with DAPI (Vector Lab.,Burlingame, CA).Samples were examined with a Nikon Labothot-2 fluores-

cent microscope equipped with 40x Nikon Plan 40/0.65and photographed with a COHU 4910 CCD camera (Inc.Electronics Division, San Diego, USA) using LUCIA im-aging software (Laboratory Imaging Ltd., Prague, Czech Re-public). Sperm cells were classified according to theircellular (acrosomal) staining patterns into non-capacitated,acrosome intact sperm; capacitated, acrosome-intact sperm;and acrosome-reacted sperm (Table 1; Fig. 1). In each sam-ple, 200 cells were evaluated.

Flow cytometry analysisSperm samples were collected at different time duringcapacitation process (0, 60, 120, 180, 240), then centri-fuged and washed in PBS (200 x g, 5 min) and fixed by96% ethanol at 4 °C for 30 min. After ethanol fixation,sperm were re-fixed in ethanol-acetone mixture at 4 °C

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(10:1) for 30 min. CTC treatment was carried out as de-scribed previously. Sperm intended for other analysiswere washed three times in PBS and incubated withanti-acrosin ACR.2 antibody (50 μg/ml), anti-pY anti-body (Sigma-Aldrich P5872; 5 μg/ml) and FITC-phall(Sigma-Aldrich P5282; 10 μg/ml) at 37 °C for 60 min.After the incubation with the primary antibody (ACR.2,anti-pY), sperm were washed three times in PBS and in-cubated with a FITC-conjugated anti-mouse IgG anti-body (Sigma-Aldrich F0257; 1:1000)) for 60 min. FITC-phall samples were only kept in incubation chamber.After the incubation, all sperm samples were intensivelywashed in PBS (five times for 5 min) and subsequently100 μl of the suspension was placed on 96-well plate.Flow cytometry data acquisition was performed on BDLSR II instrument (BD, Becton Drive Franklin Lakes, NJ,USA), excitation laser 488 nm, emission filters 530/40,measurement of fluorescent intensity in FITC channel. Ana-lysis was performed using FlowJo 7.5.4. software (TreeStarInc., Ashland, OR, USA; Additional file 2: Figure S2). Thedifferences among individual samples in the % of cells in ap-propriate gates (NC – non-capacitated, C - capacitated, AR– after acrosome reaction) and arithmetic mean of the fluor-escent intensity in the FITC channel (CTC) were assessed.

Statistical analysisExperimental data were analyzed using STATISTICA7.0. (StatSoft CR, Prague, Czech Republic) and Graph-Pad 5.03. The statistical differences in the number ofsperm cells with specific acrosomal status among controland experimental samples were assessed by the Kruskal–Wallis one-way analysis of variance (KW-ANOVA). Posthoc analysis was performed by the Newman-Keuls testand multiple comparisons of mean ranks. The Bland-Altman method was used to calculate the bias and itsvariance between the number of capacitated cells de-tected by individual methods after 240 min of incubation

and the number of acrosome-reacted sperm after ZP-in-duced AR. The p value equal or lower to 0.05 was con-sidered to be significant.

ResultsFluorescent microscopy detection of capacitationprogress by individual methodsFigures 1 and 2 summarize data from fluorescent mi-croscopy analysis of capacitation progress by presentingthe percentage of cells with specific fluorescent pattern(% pattern) as detected by CTC, ACR.2, anti-pY (alsoAdditional file 1: Figure S1) and FITC-phall (Fig. 1) atdifferent incubation time (Fig. 2) from 20 individualsamples (n = 20). At the beginning of the capacitationprocess (time 0min), there was 5–8% of sperm with spe-cific fluorescent pattern evaluated as capacitated and 7%of sperm evaluated as acrosome reacted and there wereno significant differences between individual methods.At 120 min, a significant increase in the number ofsperm with capacitated fluorescent pattern was observedin all the methods with the highest increase in ACR.2and CTC. Moreover, at 240 min, all the methods de-tected significant increase in the number of capacitatedsperm. After ZP-induced AR, all the methods detectedstrong significant decrease in the number of capacitatedsperm, which correlated with the sperm evaluated forthe specific fluorescent staining pattern after AR.

Flow cytometry detection of capacitation progress byindividual methodsFigure 3 summarizes data from flow cytometry analysisof capacitation progress by presenting the flow cytome-try histograms of the intensity in the FITC channel andthe percentages of cells in appropriate gate at the begin-ning of capacitation (time 0min), at the end of capacita-tion (time 240 min) and after the ZP-induced AR.Fluorescent intensity increased in all methods during

Table 1 Specific fluorescent patterns of the boar sperm (chilled 17 °C/diluted) as detected by individual fluorescent methods

Assay chlortetracycline

(CTC)

anti-acrosin antibody

(ACR.2)

anti-phosphotyrosine

(pY)

fluorescein isothiocyanate-conjugated phalloidin(FITC-phall)

Non-capacitated,acrosome intactsperm

Bright fluorescence overthe entire sperm head andpositive mid-piece of the tail

Moderate fluorescence inthe acrosome

Low fluorescence in the spermhead, triangular segment withinthe head and tail

Moderate fluorescence inthe sperm head and tail

Capacitated,acrosome-intactsperm

Prominent fluorescence inthe equatorial segment,mid-piece of the tail andno fluorescence (dark) inthe post-acrosomal regionof the head

Intensive fluorescence inthe acrosome

Intensive fluorescence in thesperm head, triangular segmentwithin the head and tail

Intensive fluorescence inthe acrosome and tail

Acrosome-reactedsperm

Low fluorescence over thesperm head, with remainingpositive signal in the equatorialsegment and mid-piece of the tail

Low or no fluorescencein the sperm head with aremaining fluorescence inthe equatorial segment ofthe sperm head

No fluorescence in the acrosomewith a remaining positivefluorescence in the triangularsegment within the head and tail

Low fluorescence in thesperm head with a remainingpositive signal in the tail

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Fig. 1 (See legend on next page.)

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capacitation progress with the exception of the CTCassay, where fluorescent intensity was highly stochasticand was not subjected to subsequent gating and analysis(panel D was subsequently used for correlation analysisfor CTC absolute fluorescent intensity). The ACR.2 de-tection method (Fig. 3a) displayed three completely sep-arated peaks corresponding to the non-capacitated (NC),capacitated (C) and acrosome-reacted (AR) sperm popu-lations and indicated the highest differences between thenumbers of NC, C and AR sperm. On the other hand,pY detection method (Fig. 3b) provided three well distin-guishable, but not completely separated peaks for NC, Cand AR sperm populations. The overlap among individ-ual intensity peaks also led to the smaller differences inthe percentage of the individual sperm populations. The

similar output was provided by the Phall detectionmethod (Fig. 3c) with slightly higher overlap between in-dividual intensity peaks especially for the NC/AR spermpopulations.

Correlation of individual methodsTable 2 represents the correlation between a number ofcapacitated sperm cells among individual detectionmethods. All the methods expressed significant correl-ation (p ≤ 0.05) with exception of flow cytometry forCTC. The highest correlation was observed betweenfluorescent microscopy detection of the capacitationstate by CTC and ACR.2 antibody. Even though therewas a high Pearson correlation coefficient (r = 0.81) forfluorescent microscopy data, the individual methods

(See figure on previous page.)Fig. 1 Fluorescent microscopy pictures of sperm stained with CTC, ACR.2, anti-pY and FITC-phall. Acrosomal and sperm head fluorescent patternsprominent in distinct stages of capacitation process. a1 – a3 sperm treated by CTC: a1 Non-capacitated, acrosome-intact sperm - brightfluorescence over the entire sperm head and positive mid-piece of the tail; a2 Capacitated, acrosome-intact sperm - prominent fluorescentpositive equatorial segment and mid-piece, fluorescence-free (dark) band in the post-acrosomal region; a3 Acrosome-reacted sperm - lowfluorescent signal throughout the sperm head, with a remaining positive signal in the equatorial segment and mid-piece. B1 – B3 representativepictures of three specific ACR.2 acrosomal fluorescent patterns: b1 Non-capacitated, acrosome-intact sperm - moderate uniform fluorescence inthe acrosomal area; b2 Capacitated, acrosome-intact sperm - intensive fluorescence of the acrosome; b3 Acrosome-reacted sperm - low or nofluorescent signal in the sperm head. Anti-pY: C1 – C3 pictures of three specific pY staining patterns: c1 Non-capacitated sperm – moderatesignal in the acrosomal area, visible triangular segment; c2 Intensive fluorescence of the sperm head, triangular segment and tail – capacitated,acrosome-intact sperm; c3 Very low/no signal in the acrosomal area, visible triangular segment – acrosome reacted sperm. D1 – D3representative pictures of three specific FITC-phall staining: d1 Non-capacitated sperm – moderate fluorescence in the acrosomal and spermhead/tail area; d2 Intensive fluorescence of the acrosome and the tail – capacitated, acrosome-intact sperm; d3 Low intensity in the acrosomaland apical sperm head area – sperm after AR. b1 – b3, c1 – c3 nuclei stained with a Blue DAPI dye

Fig. 2 Percentage of non-capacitated, capacitated and acrosome-reacted sperm analyzed by FC after different incubation time in capacitationmedium (0, 120 and 240min) and ZP-induced AR. Individual bars denote the percentage of non-capacitated, capacitated and AR cells asdetected by individual methods among pre-defined sequential times of the capacitation and after AR. Samples from 20 individual boars wereanalyzed in this assay. No significant difference among individual methods at 0 min and after AR. Significant difference between CTC/ACR.2 vsanti-pY/FITC-phall at 120 and 240min (p ≤ 0.05). The percentage of capacitated sperm differed (p≤ 0.05) among end points (0, 120, 240, and AR)for the same evaluation method. Error bars indicate SEM

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expressed different sum of correlation coefficients (rtotal) with the highest r total for CTC and ACR.2 fluor-escent methods. In contrast, flow cytometry with CTCand fluorescent microscopy with FITC-phall had thelowest r total (r total = 2.51 and 3.34). In general, indi-vidual data sets from fluorescent microscopy expressedhigher in-between correlation compared to coefficientsbetween fluorescent microscopy (FM) and flow cytome-try (FC) data and oppositely.

Correlation between number of capacitated cells detectedby individual methods and number of cells after ZP-inducedacrosome reaction (AR)Table 3 represents the correlation between number ofcapacitated cells after 240 min of incubation and numberof cells after ZP-induced acrosome reaction. The Pear-son correlation coefficients (r) between number of cellswith specific acrosomal pattern and means of fluorescentintensity (detected by CTC, ACR.2, anti-pY and FITC-phall) and numbers of cells after AR (detected by PSAfluorescent microscopy (PSA FM) and flow cytometry

(PSA FC)) are presented. The strongest correlation wasobserved between a number of capacitated cells detectedby CTC fluorescent microscopy (CTC FM) and a num-ber of cells after AR detected by fluorescent microscopywith PSA (PSA FM). Almost the same result was ob-tained by fluorescent microscopy with ACR.2 antibody(ACR.2 FM) and PSA FM. All other methods and ap-proaches expressed correlation at different levels of sig-nificance with exception of flow cytometry with CTC. Ingeneral, individual data sets from fluorescent microscopyexpressed higher in-between correlation compared tocoefficients between FM and FC data.Figure 4 graphically summarizes the correlations be-

tween the percentages of capacitated sperm at 240min ofincubation detected by individual fluorescent microscopymethods and percentage of AR sperm after the ZP-in-duced AR detected by PSA method. The highest Pearsoncorrelation coefficient was observed by CTC analysis (r =0.93) and ACR.2 method (r = 0.92) while FITC-phall assayand pY assay presented moderate positive correlations(r = 0.68 and r = 0.5, respectively). All the correlation

Fig. 3 Flow cytometry histograms and percentage of non-capacitated, capacitated and AR cells. Histograms and bar charts from the flowcytometry analysis of the non-capacitated (black), capacitated (240min; green) and AR sperm (red) as analyzed by ACR.2 (a), anti-pY (b), FITC-phall(c) and CTC (d). The histograms represent the fluorescent signal intensities in 10.000 cells in non-capacitated, capacitated and AR among theanalyzed samples (N = 20). Inserted bars denote the corresponding distribution of the percentage of the non-capacitated, capacitated and ARcells at time 0 (left), 240 min (middle) and after AR (right). Bar graphs are not show for the CTC assay

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coefficients were statistically significant (p ≤ 0.01). Insertedbar charts (Fig. 4) represent the relative numbers of capac-itated cells at 240min of incubation detected by corre-sponding method (C240), the relative number of ARsperm detected by PSA assay after the ZP-induced AR(AR) and their differences (Δ).Data from FM experiments are finally represented as a

Bland-Altman plot (Fig. 5; Additional file 3: Figure S3)which shows the agreement among individual methods.The zero baseline represents the percentage of cells de-tected as AR by PSA. All the methods underestimated thenumber of acrosome-reacted sperm and there were majordifferences in the calculated bias for individual methods.The lowest bias between the number of cells detected ascapacitated after 240min of incubation and number ofacrosome-reacted cells after ZP-induced AR was calcu-lated for ACR.2 and CTC method (5.2 ± 1 and 5.35 ±0.87), the highest bias was calculated for pY method(46.78 ± 2.15).

DiscussionSpermatozoa have to undergo series of controlled mo-lecular changes in female reproductive tract or in vitrobefore being able to bind, penetrate and fertilize the egg[1–3]. Nevertheless, many molecular and physiologicalaspects of capacitation are still waiting to be discoveredor characterized. In our study, we targeted depiction ofcapacitation process dynamics by multiple fluorescenttechniques and compare their detection outcome. More-over, we were able to address the ability of individual

Table 3 Correlation matrix between % of capacitated boarsperm (chilled 17 °C/diluted) after 240 min of incubationdetected by individual methods and number of cells afterZP-induced acrosome reaction detected by PSA; n = 20

PSA FMi PSA FCj

ACR.2 FMa 0.92 0.69

ACR.2 FCb 0.77 0.84

CTC FMc 0.93 0.72

CTC FCd 0.19 0.21

Phall FMe 0.68 0.35

Phall FCf 0.54 0.62

anti-pY FMg 0.5 0.60

anti-pY FCh 0.64 0.71

Correlation coefficients (r) between detections of capacitation status byindividual detection methods and detection of cells after ZP-inducedacrosome reaction detected by appropriate methodsaFluorescent microscopy (FM) with anti-acrosin (ACR.2) antibodybFlow cytometry (FC) with ACR.2 antibodycFluorescent microscopy with chlortetracycline (CTC FM)dFlow cytometry with chlortetracycline (CTC FC)eFluorescent microscopy with fluorescein isothiocyanate-conjugated phalloidin(Phall FM)fFlow cytometry with fluorescein isothiocyanate-conjugated phalloidin (Phall FC)g Fluorescent microscopy with anti-phosphotyrosine antibody (anti-pY FM)hFlow cytometry with anti-phosphotyrosine antibody (anti-pY FC)i Fluorescent microscopy with Pisum sativum (PSA FM)jFlow cytometry with Pisum sativum (PSA FC)Significant correlation coefficient in bold (p ≤ 0.05)

Table 2 Correlation matrix of individual detection methods of boar sperm (chilled 17 °C/diluted) capacitation status at 240 min ofincubation; n = 20

ACR.2 FM ACR.2 FC CTC FM CTC FC Phall FM Phall FC pY FM pY FC

ACR.2 FMa 1 0.79 0.81 0.19 0.33 0.55 0.47 0.55

ACR.2 FCb 0.79 1 0.69 0.17 0.33 0.62 0.39 0.44

CTC FMc 0.81 0.69 1 0.25 0.35 0.59 0.52 0.47

CTC FCd 0.19 0.17 0.25 1 0.24 0.31 0.12 0.23

Phall FMe 0.33 0.33 0.35 0.24 1 0.47 0.27 0.35

Phall FCf 0.55 0.62 0.59 0.31 0.47 1 0.23 0.29

anti-pY FMg 0.47 0.39 0.52 0.12 0.27 0.23 1 0.71

anti-pY FCh 0.55 0.44 0.47 0.23 0.35 0.29 0.71 1

r totali 4.69 4.43 4.68 2.51 3.34 4.06 3.71 4.04

Correlation coefficients (r) between detections of capacitation status by individual detection methodsaFluorescent microscopy with anti-acrosin (ACR.2 FM) antibodyb Flow cytometry with ACR.2 antibody (ACR.2 FC)cFluorescent microscopy with chlortetracycline (CTC FM)dFlow cytometry with chlortetracycline (CTC FC)eFluorescent microscopy with fluorescein isothiocyanate-conjugated phalloidin (Phall FM)fFlow cytometry with fluorescein isothiocyanate-conjugated phalloidin (Phall FC)gFluorescent microscopy with anti-phosphotyrosine antibody (anti-pY FM)hFlow cytometry with anti-phosphotyrosine antibody (anti-pY FC)iThe sum of correlation coefficients for appropriate detection methodSignificant correlation coefficient in bold (p ≤ 0.05)

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methods to detect the measurable physiological status ofcapacitated sperm.CTC is considered as gold standard in fluorescent micros-

copy analysis of sperm capacitation state [12, 13, 21–23].Notable disadvantage of this method is the difficult as-sessment of individual cell fluorescent patterns underthe fluorescent microscope [12] and a relative low fluores-cent intensity in combination with fast photobleaching,

which make analysis difficult for human eye. On the otherhand, ACR.2 antibody analysis of the specimen is mucheasier for the human evaluator, due to a strong positivesignal and prominent acrosomal patterns. Although anti-pY and FITC-phall are able to detect changes during cap-acitation in fluorescent intensity in the sperm head andtail, the major disadvantage of these methods is the ab-sence of a specific fluorescent pattern corresponding to

Fig. 4 Correlations and differences between the % of capacitated boar sperm at 240 min detected by FM by individual methods and % of ARcells detected by PSA FM. Individual graphs show the correlation lines, the correlation coefficient r and its p-value for the CTC (a), ACR.2 (b), pY(c) and FITC-phall (d). The inserted bars represent the comparison of the percentage of cells detected as capacitated by individual methods(C240), the percentage of the cells detected as AR by PSA assay (AR) and their difference (Δ). 20 chilled (17 °C) / diluted boar sperm samples wereanalyzed for each assay (N = 20)

Fig. 5 Bland-Altman plot. Bland-Altman plot shows the differential bias between the percentage of cells detected as capacitated by individualmethods after 240 min of incubation and the percentage of cells detected as acrosome-reacted by PSA after ZP-induced AR. The zero baselinerepresents the percentage of cells detected as acrosome-reacted by PSA, individual color lines shows the biases for CTC, ACR.2, FITC-phall and pYassays. Circles represents individual data points (N = 20 for each method), dotted lines represent 95% LA (Limits of agreement)

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the capacitation progress and subsequent necessity to setan intensity threshold, which is subjective. However, thisdisadvantage may be overcome by using a computer pic-ture analyzer [24]. The described challenges using anti-pYand FITC-phall methods for detection of the capacitationstate resulted in lowest correlation of the data comparesto those obtained by CTC and ACR.2.The other obvious way how to overcome subjective ana-

lysis of the fluorescent intensities is to use flow cytometry.On very positive terms, in general, the flow cytometry datacorresponded with those from fluorescent microscopy, withfew important remarks. CTC assay may not be suitable forfluorescence detection by flow cytometry. During capacita-tion, the prominent change in the CTC fluorescent analysisis the appearance of the dark postacrosomal segment, afluorescent pattern, which is not well distinguishable by cyt-ometer detector. On the other hand, data from anti-pY andFITC-phall express much better statistical differencesamong individual capacitation times using flow cytometry,which might be likely due to the fact, that strong point ofthe flow cytometry analysis is the ability to precisely meas-ure small differences in the fluorescent intensity. Finally,the strength of analysis using ACR.2 antibody is in theregular presence of three easily distinguishable fluorescentintensity peaks, which enables to gate them to acquire an-other set of useful data for statistical analysis. In general,flow cytometry generates different type of statistical param-eters (e.g. arithmetical, geometrical mean of fluorescent in-tensity, number of accidents in set gates etc.), which areaccessible for subsequent statistical analysis (e.g., comparingmultiple groups by ANOVA) [17, 23, 25–27]. In our study,we analyzed the percentages of sperm in the appropriategate for ACR.2, pY and Phall and arithmetical means offluorescent intensity for CTC. In general, the strong pointof flow cytometry analysis is ability to analyze thousands ofcells per sample, objective analysis and capability to pre-cisely measure the fluorescent intensity, which changes cor-relate with the physiological process. The relativeweaknesses of the method are the cost of the instrumentand analysis and inability to exactly asses the specific mor-phological fluorescent patterns, a drawback, which can benow almost overcome by sophisticated cytometers, whichcombine the advantages of both flow cytometers and fluor-escent microscopes [28, 29].The combination of the data from fluorescent micros-

copy and flow cytometry enables us to describe the tem-poral changes and succession of the molecular processesdetected by individual analytical methods. According toour results, the first observable change is the redistribu-tion of calcium ions (CTC FM [30];), accompanied byhighest accessibility of acrosin epitopes (ACR.2 FM, FC),which resulted from enzymatic and proteomic changesin acrosomal matrix. At later capacitation stages (180min), the phosphorylation of sperm proteins [31] and

actin polymerization [6, 7] are also well detectable bypresented methods. At this point it is important to mention,that collecting samples at only five different timesduring capacitation is not sufficient for detailedcharacterization of the molecular changes, on whichphysiological process of capacitation is based andsperm life imaging is more appropriate method tostudy this in detail. For example, fast changes in cal-cium concentration should be measured by methodsother than CTC [32, 33]. Similarly, changes in actinpolymerization should be measured by multiple ana-lytical methods, since staining with FITC-phall canreflect rather changes in accessibility of actin epitopesthan actin polymerization and depolymerization itself.On the other hand, CTC, contrary to methods meas-uring fast changes in calcium concentration, is able toreflect global changes of sperm cellular calciumhomeostasis thus, likewise other methods used in thiswork, play important role in studying capacitation ascellular physiological process.Due to the fact that capacitation is the physiological

process, which results in the ability of sperm to undergoAR in the presence of zona pellucida, we tested the abil-ity of individual methods to predict number of physiolo-gically capacitated sperm. According to the resultspresented in Fig. 4 and Table 2, all used methods withwell-thought of experimental design (fluorescent micros-copy and flow cytometry) show a good correlation withthe number of cells after zona pellucida induced AR, butthere are major differences in their ability to predict thepercentage of cells undergoing acrosome reaction in thepresence of zona pellucida in boars. FM CTC and FMACR.2 are best in prediction of status physiologically ca-pacitated sperm showing the lowest bias in Bland-Altman analysis and thus can be used as a useful tool foroptimization of capacitating media [34] or for studyingeffect of various compounds with the pro-, or anti-capacitation effect [14]. On the other hand, pY methodshowed the lowest agreement (the highest bias) betweenthe number of cells detected as capacitated at 240 minand the number of cells detected as AR after ZP-inducedacrosomal reaction and therefore in our arrangementhighly underestimate the % of cells which will undergothe ZP-induced AR.Despite the fact, that our experimental approach en-

abled to compare four methods used for characterizationof capacitation process in boar sperm, and broaden upthe knowledge on interpretation of obtained data, thereare still several limitations, which need to be addressedin future studies. The first is related to the evaluation ofindividual cells in a sample by multiple analyticalmethods. The co-staining of the individual samples byfor example ACR.2 and anti-pY antibody would enableto conclude if individual cells are detected by both

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methods as non-capacitated, capacitated or AR andrigorously calculate methods agreement on the level ofindividual cells. This approach would not be technicallypossible for the CTC method since sample processingand evaluation by FM differs from antibody or FITC-phall staining. The second limitation is similar but re-lated to AR prediction. The experimental approach usedin the current study also does not allow to determine ifindividual cells detected as capacitated by individualmethods would be exactly those undergoing AR whenexposed to solubilized ZP. The presented ratios andagreements of cells detected as capacitated by CTC andACR.2 and cells detected as AR by PSA after ZP-inducedAR suggest that cells detected as capacitated by thesetwo methods will undergo AR after exposure to solubi-lized ZP. However, such conclusion can not be drawnfor anti-pY and FITC-Phall methods. A possible ap-proach to probe this in further detail would be to in-duced AR by ZP during several times of incubationwhere the ratios of cells detected as non-capacitated andcapacitated are different and using FC observed whatpopulation of cells (non-capacitated/capacitated) willundergo AR. However, there are again several technicallimitations, since ACR.2 antibody displays intermediatefluorescent intensity peaks in earlier stages of the incu-bation and there are gates overlaps for anti-pY andFITC-phall, as shown in Fig. 3. Similarly, the presentedapproach would not suit the CTC method.To summarize, the multiple fluorescent methods

used in our study to monitor boar sperm capacitationproved to be able to detect the temporal changes ofthe capacitation process. However, for some methods,flow cytometry is more appropriate than fluorescentmicroscopy and vice versa, and this should be consid-ered in an experimental design. Data from individualanalytical methods significantly correlates, albeit thereare notable differences in the correlation coefficientbetween them. Furthermore, a change in the temporaldynamics in individual molecular processes detectedby appropriate methods were observed. These individ-ual observations and assessments are crucial, as thedifferences in temporal changes allow us to makerough model of chronological succession of processesunderlying capacitation. Finally, using a correlationanalysis with data from ZP-induced acrosome reactionwas shown, that described methods are able to pre-dict the number of spermatozoa undergoing AR afterexposure to ZP but there were major differencesamong individual methods. The detailed knowledge oflimits of these methods commonly used for evaluationof capacitation status and prediction of sperm abilityto undergo the AR should help to standardize individ-ual results and lead to production of good compar-able data among scientific laboratories.

ConclusionsCapacitation is one of the most crucial steps sperm hasto undergo before being able to fertilize egg. Therefore,the proper characterization of its dynamics has great im-portance for many studies addressing sperm physiology.In this article, we have studied capacitation of boarsperm using four largely used methods, compared theirexperimental outputs using fluorescent microscopy andflow cytometry and highlighted their limits and differ-ences when detecting capacitation progress. Further-more, we show that CTC and ACR.2 methods are ableto accurately predict the percentage of acrosome-reactedsperm after ZP-induced AR. Our study thus contributesfurther to better characterization of the important stepin the mammalian reproduction such as capacitation.

Supplementary informationSupplementary information accompanies this paper at https://doi.org/10.1186/s12958-019-0554-z.

Additional file 1: Figure S1. Example of the fluorescent microscopyanalysis of the sperm capacitation status. The microphotograph shows 14boar sperm stained by anti-pY antibody (green) and counterstained byDAPI. Eleven cells detected as capacitated (C), two cells detected as non-capacitated (NC), one cell as AR. Time 240 min, 400x.

Additional file 2: Figure S2. Example of the flow cytometry analysis ofthe boar sperm capacitation progress by ACR.2 antibody. The dot plotsrepresent the gating of the analyzed sperm population using FSC andSSC detection and the histograms of the FITC channel with the gating ofthe non-capacitated (N), capacitated (C) and AR cells (%) for the individualtime points (0, 30, 60, 90, 120, 180, 240) and AR. The data from 0, 240 andAR from the 20 individual boars were subsequently used for the preparationof Fig. 3.

Additional file 3: Figure S3. Bland-Altman plots separately for individualmethods. Bland-Altman plots (decomposed Fig. 5) show the absolute biasbetween the percentage of cells detected as capacitated by individualmethods after 240min of incubation and the percentage of cells detectedas acrosome-reacted by PSA after ZP-induced AR. The zero baselinerepresents the percentage of cells detected as acrosome-reacted byPSA, solid lines shows the absolute biases for CTC, ACR.2, FITC-phalland pY assays. Dots represent individual data points, dotted linesrepresent 95% LA (Limits of Agreement).

AcknowledgementsNot applicable.

Authors’ contributionsLD conceptualization, supervision, investigation, data processing, writingmanuscript; PD investigation, methodology, data acquisition, writingmanuscript; LD and PD contributed to the project equally. EZ investigation,methodology, data curation, writing manuscript; AD investigation,methodology, data acquisition; KK conceptualization, supervision, fundingacquisition, writing manuscript; JP conceptualization, supervision, fundingacquisition, investigation, writing manuscript. All authors read and approvedthe final manuscript.

FundingThis work was supported by project BIOCEV (CZ.1.05/1.1.00/02.0109) from theERDF, by GACR No. GA-18-11275S, and by the Institutional support ofthe Institute of Biotechnology RVO: 86652036.

Availability of data and materialsThe data and materials are available from the corresponding author onreasonable requests.

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Ethics approval and consent to participateNot applicable.

Consent for publicationNot applicable.

Competing interestsThe authors declare that they have no competing interest.

Author details1 Laboratory of Reproductive Biology, Institute of Biotechnology, CzechAcademy of Sciences, BIOCEV, Vestec, Czech Republic. 2Department ofZoology, Faculty of Science, Charles University, Prague, Czech Republic.

Received: 10 May 2019 Accepted: 6 December 2019

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