Name: Platform for Quantitative Detection of Endometrial Immune Cells Based on Immunohistochemistry and Digital Image Analysis (Video) | JoVE Journal
Uploaded: 2023-10-13T13:50:00.000+00:00
Duration: 7 min 46 s
Description: Learn quantitative detection of endometrial immune cells using immunohistochemistry and digital image analysis in human tissue. This platform enables stable analysis of CD56, CD1a, and Foxp3 cells to study recurrent miscarriage causes.

ai_agent_IP

ai_agent

maintenance

instantTrialDurationMinutes

isBiopharma

enableNewMyJoveSectionDesign

educationFeatures

seoMetaApi

ai_copilot_institution_blacklist

ai_chat_institution_blacklist

freeAccessWindow

ssoRoleCapture

scheduledMaintenanceBanner

joveLabsFeatures

disable_autoplay_for_bots

extended_trial_duration

5 minutes

The authors are grateful to all women who consented and donated samples for this study.

The research content and protocol has been ethically reviewed and approved by the research ethics committee of Shenzhen Zhongshan Urology Hospital. All women (20- 40 years old) involved in the study provided informed consent for sample collection and usage.
1. Acquisition of pathological tissue
<ol>
	<li>Prepare the tools for tissue harvesting namely, measuring ruler, tweezer, embedding cassette, embedding paper, and tissue basket.</li>
	<li>Observe whether the amount of endometrial tissue (bigger than a mung bean), collected using a standard approach with a pipelle catheter, is sufficient.</li>
	<li>Transfer the endometrial tissue from formalin onto the embedding paper with tweezer and measure the endometrial tissue dimensions with a ruler.</li>
	<li>Wrap the endometrial tissue with embedding paper and place in an embedding cassette.</li>
	<li>Place the embedding cassette into the tissue basket for dehydration.</li>
</ol>
2. Tissue dehydration
<ol>
	<li>Put the tissue basket into the reaction chamber of the dehydrator (see Table of Materials) and start the procedure for routine tissue dehydration: formalin for 100 min; formalin for 100 min; 75% alcohol for 60 min; 85% alcohol for 60 min; 95% alcohol for 60 min; 100% alcohol for 60 min; 100% alcohol for 60 min; 100% alcohol for 60 min; xylene for 35 min; xylene for 20 min; xylene for 20 min; wax for 80 min; wax for 80 min; wax for 80 min. The process takes about 15 h.</li>
	<li>At the end of the tissue dehydration procedure, open the reaction chamber of the dehydrator, remove the tissue basket.</li>
</ol>
3. Tissue embedding
<ol>
	<li>Take out a suitable embedding mold according to the size of the specimen, and fill with paraffin wax at 70 &#176; C.</li>
	<li>Quickly place the tissue into the mold and carefully adjust so that the tissue is located in the center of the mold.</li>
	<li>Move the mold smoothly to the cooling plate and gently press the tissue while the paraffin at the bottom sets.</li>
	<li>Put embedding cassette on top of the mold and top up with more wax.</li>
	<li>Place the mold on the cooling plate, and when the paraffin is completely solidified, remove the block with its attached cassette away from the mold.</li>
</ol>
4. Tissue sections
<ol>
	<li>Insert the block on the sample clip of the microtome, place the blade in the holder, adjust the angle between the plane of block and the blade, adjust the thickness of the section to 4 &#181;m, turn the hand wheel, and start the slicing.</li>
	<li>Expose the appropriate tissue surface by cutting a few thin sections from the block. Take the continuous and complete sections out with the brush.</li>
	<li>When enough sections are cut, stop turning the hand wheel, remove the unqualified sections at the front end with tweezers, and float the sections on the surface of 42 &#176;C water in the water bath with tweezers and brush.</li>
	<li>After the sections are fully flattened out, pick the sections on anti-detachment slides and transfer to a slide warmer at 65 &#176;C to bake for 60 min.</li>
	<li>When the baking is finished, take the glass slides out from the slide warmer.</li>
</ol>
5. Immunohistochemical staining
<ol>
	<li>Dilute the primary antibody into a working solution with antibody diluent. See Table 1 for details.</li>
	<li>Put the diluted antibody solution into a special reagent bottle and the detection kit into the reagent compartment of an automatic IHC staining instrument (see Table of Materials).</li>
	<li>Place the slides on a slide holder, covered with a special covertile, and insert them into the experimental reaction compartment of the instrument.</li>
	<li>After the instrument automatically recognizes the reagent and experimental information on the slide, click the Start button to start the immunohistochemical staining. The experiment lasts for about 3 h.</li>
</ol>
6. Dehydration and sealing of the slide
<ol>
	<li>After immunohistochemical staining, take out the slide holder, take off the special covertile, put the stained slide into the slide holder, and wash off the remaining dye on the slide with clean water.</li>
	<li>Transfer the slide holder to an automated coverslipper (see Table of Materials), select and run the dehydration and sealing procedure.</li>
	<li>Take out the slides after dehydration and sealing.</li>
</ol>
7. Scanning slide
<ol>
	<li>Put the slides on the slide rack of the panoramic pathological image scanner (see Table of Materials) and place it in the instrument slide scanning compartment for panoramic pathological image scanning. The scanning takes 2 min. See Figure 1.</li>
</ol>
8. Analysis of images
<ol>
	<li>Import image
	<ol>
		<li>Open the pathological image analysis software (see Table of Materials) and create a new folder. Import immunohistochemical images to be analyzed.</li>
	</ol>
	</li>
	<li>Build a tissue classifier
	<ol>
		<li>Mark several tissues and blank annotation to train and establish a classifier for identifying the tissue and blank area, respectively.</li>
		<li>Use real-time tuning to observe the recognition capacity of the software in real time during mark annotation. If the recognition is not timely, remark annotation and train again until the tissue recognition is accurate.</li>
	</ol>
	</li>
	<li>Build analysis algorithm
	<ol>
		<li>Select the standard algorithm in the software according to the type of experiment: multiplex IHC.</li>
		<li>Set the color parameters of cell recognition by selecting typical negative and positive pixel. 
		On this basis, set the parameters of nucleus, cytoplasm, and cell membrane, and observe the cell recognition situation in real time until the most suitable parameters for the image have found.</li>
		<li>Set the positive cell recognition threshold and observe the recognition situation in real time until the appropriate threshold is adjusted.</li>
		<li>Select the tissue classifier in the algorithm, and check the tissue part in the tissue classifier, so as to identify cells on the basis of tissues. At this point, the establishment of an analysis algorithm is completed.</li>
	</ol>
	</li>
	<li>Run image analysis
	<ol>
		<li>Select the analysis area. Use the established algorithm to analyze images.</li>
	</ol>
	</li>
	<li>After the software analysis has finished analyzing, manually check whether the image recognition is accurate, including tissue recognition, negative and positive cell recognition.</li>
	<li>If the image recognition is not accurate, adjust the algorithm and parameter threshold again, and rerun image analysis until success. Export the results of the analysis. See Figure 1.</li>
	<li>Other immune cells can also be analyzed according to the above steps (see Figure 1). Set different analysis parameters according to the actual expression of different endometrial immune markers (CD56+uNK cells, Foxp3+Tregs, CD68+ macrophages, CD163+M2 macrophages, CD1a+DCs and CD8+T cells25,26).</li>
	<li>Through the calculation of the software, obtain the proportion of endometrial immune cells (see Table 2). Use this to evaluate the levels of various immune cells in the endometrium of patients with recurrent miscarriage.</li>
</ol>

Image Analysis of Immunohistochemically Stained Endometrial Tissue

<ol><li>Practice Committee of the American Society for Reproductive. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Evaluation+and+treatment+of+recurrent+pregnancy+loss%3A+a+committee+opinion%5BTitle%5D)+AND+%22Fertility+and+Sterility%22%5BJournal%5D)">Evaluation and treatment of recurrent pregnancy loss: a committee opinion.</a> Fertility and Sterility. 98 (5), 1103-1111 (2012).</li>
<li>Dimitriadis, E., Menkhorst, E., Saito, S., Kutteh, W. H., Brosens, J. J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Recurrent+pregnancy+loss%5BTitle%5D)+AND+%22Nature+Reviews.+Disease+Primers%22%5BJournal%5D)">Recurrent pregnancy loss.</a> Nature Reviews. Disease Primers. 6 (1), 98(2020).</li>
<li>Kavvadas, D., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Immunohistochemical+Evaluation+of+CD3%2C+CD4%2C+CD8%2C+and+CD20+in+Decidual+and+Trophoblastic+Tissue+Specimens+of+Patients+with+Recurrent+Pregnancy+Loss%5BTitle%5D)+AND+%22%22%5BJournal%5D)">Immunohistochemical Evaluation of CD3, CD4, CD8, and CD20 in Decidual and Trophoblastic Tissue Specimens of Patients with Recurrent Pregnancy Loss.</a> 12 (2), 177-193 (2022).</li>
<li>Arora, R., Rathee, A., Sachdeva, M., Agrawal, U. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Unexplained+repeated+pregnancy+loss+and+T+helper+cells%5BTitle%5D)+AND+%22European+Journal+of+Obstetrics%2C+Gynecology%2C+and+Reproductive+Biology%22%5BJournal%5D)">Unexplained repeated pregnancy loss and T helper cells.</a> European Journal of Obstetrics, Gynecology, and Reproductive Biology. 254, 277-283 (2020).</li>
<li>Du, M., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Elevated+percentage+of+CD3%28%2B%29T+cells+and+pregnancy+outcome+in+women+with+recurrent+pregnancy+loss%5BTitle%5D)+AND+%22Clinica+Chimica+Acta%22%5BJournal%5D)">Elevated percentage of CD3(+)T cells and pregnancy outcome in women with recurrent pregnancy loss.</a> Clinica Chimica Acta. 486, 341-346 (2018).</li>
<li>Faas, M. M., de Vos, P. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Uterine+NK+cells+and+macrophages+in+pregnancy%5BTitle%5D)+AND+%22Placenta%22%5BJournal%5D)">Uterine NK cells and macrophages in pregnancy.</a> Placenta. 56, 44-52 (2017).</li>
<li>Huppertz, B., Berghold, V. M., Kawaguchi, R., Gauster, M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((A+variety+of+opportunities+for+immune+interactions+during+trophoblast+development+and+invasion%5BTitle%5D)+AND+%22American+Journal+of+Reproductive+Immunology%22%5BJournal%5D)">A variety of opportunities for immune interactions during trophoblast development and invasion.</a> American Journal of Reproductive Immunology. 67 (5), 349-357 (2012).</li>
<li>Meyer, N., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Chymase-producing+cells+of+the+innate+immune+system+are+required+for+decidual+vascular+remodeling+and+fetal+growth%5BTitle%5D)+AND+%22Scientific+Reports%22%5BJournal%5D)">Chymase-producing cells of the innate immune system are required for decidual vascular remodeling and fetal growth.</a> Scientific Reports. 7, 45106(2017).</li>
<li>Smith, S. D., Dunk, C. E., Aplin, J. D., Harris, L. K., Jones, R. L. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Evidence+for+immune+cell+involvement+in+decidual+spiral+arteriole+remodeling+in+early+human+pregnancy%5BTitle%5D)+AND+%22American+Journal+of+Pathology%22%5BJournal%5D)">Evidence for immune cell involvement in decidual spiral arteriole remodeling in early human pregnancy.</a> American Journal of Pathology. 174 (5), 1959-1971 (2009).</li>
<li>Clifford, K., Flanagan, A. M., Regan, L. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Endometrial+CD56%2B+natural+killer+cells+in+women+with+recurrent+miscarriage%3A+a+histomorphometric+study%5BTitle%5D)+AND+%22Human+Reproduction%22%5BJournal%5D)">Endometrial CD56+ natural killer cells in women with recurrent miscarriage: a histomorphometric study.</a> Human Reproduction. 14 (11), 2727-2730 (1999).</li>
<li>Chen, X., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Measurement+of+uterine+natural+killer+cell+percentage+in+the+periimplantation+endometrium+from+fertile+women+and+women+with+recurrent+reproductive+failure%3A+establishment+of+a+reference+range%5BTitle%5D)+AND+%22American+Journal+of+Obstetrics+and+Gynecology%22%5BJournal%5D)">Measurement of uterine natural killer cell percentage in the periimplantation endometrium from fertile women and women with recurrent reproductive failure: establishment of a reference range.</a> American Journal of Obstetrics and Gynecology. 217 (6), 680 e1-680 e6 (2017).</li>
<li>Tuckerman, E., Mariee, N., Prakash, A., Li, T. C., Laird, S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Uterine+natural+killer+cells+in+peri-implantation+endometrium+from+women+with+repeated+implantation+failure+after+IVF%5BTitle%5D)+AND+%22Journal+of+Reproductive+Immunology%22%5BJournal%5D)">Uterine natural killer cells in peri-implantation endometrium from women with repeated implantation failure after IVF.</a> Journal of Reproductive Immunology. 87 (1-2), 60-66 (2010).</li>
<li>Laird, S. M., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((A+review+of+immune+cells+and+molecules+in+women+with+recurrent+miscarriage%5BTitle%5D)+AND+%22Human+Reproduction+Update%22%5BJournal%5D)">A review of immune cells and molecules in women with recurrent miscarriage.</a> Human Reproduction Update. 9 (2), 163-174 (2003).</li>
<li>Keller, C. C., Eikmans, M., van der Hoorn, M. P., Lashley, L. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Recurrent+miscarriages+and+the+association+with+regulatory+T+cells%3B+A+systematic+review%5BTitle%5D)+AND+%22Journal+of+Reproductive+Immunology%22%5BJournal%5D)">Recurrent miscarriages and the association with regulatory T cells; A systematic review.</a> Journal of Reproductive Immunology. 139, 103105(2020).</li>
<li>Vallvé-Juanico, J., Houshdaran, S., Giudice, L. C. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((The+endometrial+immune+environment+of+women+with+endometriosis%5BTitle%5D)+AND+%22Human+Reproduction+Update%22%5BJournal%5D)">The endometrial immune environment of women with endometriosis.</a> Human Reproduction Update. 25 (5), 564-591 (2019).</li>
<li>Yang, F., Zheng, Q., Jin, L. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Dynamic+Function+and+Composition+Changes+of+Immune+Cells+During+Normal+and+Pathological+Pregnancy+at+the+Maternal-Fetal+Interface%5BTitle%5D)+AND+%22Frontiers+in+Immunology%22%5BJournal%5D)">Dynamic Function and Composition Changes of Immune Cells During Normal and Pathological Pregnancy at the Maternal-Fetal Interface.</a> Frontiers in Immunology. 10, 2317(2019).</li>
<li>Hey-Cunningham, A. J., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Comprehensive+analysis+utilizing+flow+cytometry+and+immunohistochemistry+reveals+inflammatory+changes+in+local+endometrial+and+systemic+dendritic+cell+populations+in+endometriosis%5BTitle%5D)+AND+%22Human+Reproduction%22%5BJournal%5D)">Comprehensive analysis utilizing flow cytometry and immunohistochemistry reveals inflammatory changes in local endometrial and systemic dendritic cell populations in endometriosis.</a> Human Reproduction. 36 (2), 415-428 (2021).</li>
<li>Zhong, Q., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Patterns+of+Immune+Infiltration+in+Endometriosis+and+Their+Relationship+to+r-AFS+Stages%5BTitle%5D)+AND+%22Frontiers+in+Genetics%22%5BJournal%5D)">Patterns of Immune Infiltration in Endometriosis and Their Relationship to r-AFS Stages.</a> Frontiers in Genetics. 12, 631715(2021).</li>
<li>Attems, J., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Neuropathological+consensus+criteria+for+the+evaluation+of+Lewy+pathology+in+post-mortem+brains%3A+a+multi-centre+study%5BTitle%5D)+AND+%22Acta+Neuropathologic%22%5BJournal%5D)">Neuropathological consensus criteria for the evaluation of Lewy pathology in post-mortem brains: a multi-centre study.</a> Acta Neuropathologic. 141 (2), 159-172 (2021).</li>
<li>Kovacs, G. G., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Multisite+Assessment+of+Aging-Related+Tau+Astrogliopathy+%28ARTAG%29%5BTitle%5D)+AND+%22Journal+of+Neuropathology+and+Experimental+Neurology%22%5BJournal%5D)">Multisite Assessment of Aging-Related Tau Astrogliopathy (ARTAG).</a> Journal of Neuropathology and Experimental Neurology. 76 (7), 605-619 (2017).</li>
<li>Modis, L. V., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Extracellular+matrix+changes+in+corneal+opacification+vary+depending+on+etiology%5BTitle%5D)+AND+%22Molecular+Vision%22%5BJournal%5D)">Extracellular matrix changes in corneal opacification vary depending on etiology.</a> Molecular Vision. 27, 26-36 (2021).</li>
<li>Walker, R. A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Quantification+of+immunohistochemistry--issues+concerning+methods%2C+utility+and+semiquantitative+assessment+I%5BTitle%5D)+AND+%22Histopathology%22%5BJournal%5D)">Quantification of immunohistochemistry--issues concerning methods, utility and semiquantitative assessment I.</a> Histopathology. 49 (4), 406-410 (2006).</li>
<li>Jensen, K., Krusenstjerna-Hafstrom, R., Lohse, J., Petersen, K. H., Derand, H. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((A+novel+quantitative+immunohistochemistry+method+for+precise+protein+measurements+directly+in+formalin-fixed%2C+paraffin-embedded+specimens%3A+analytical+performance+measuring+HER2%5BTitle%5D)+AND+%22Modern+Pathology%22%5BJournal%5D)">A novel quantitative immunohistochemistry method for precise protein measurements directly in formalin-fixed, paraffin-embedded specimens: analytical performance measuring HER2.</a> Modern Pathology. 30 (2), 180-193 (2017).</li>
<li>Moreno-Ruiz, P., Wik Leiss, L., Mezheyeuski, A., Ehnman, M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Double+Immunohistochemistry+and+Digital+Image+Analysis%5BTitle%5D)+AND+%22Methods+in+Molecular+Biology%22%5BJournal%5D)">Double Immunohistochemistry and Digital Image Analysis.</a> Methods in Molecular Biology. 1913, 3-11 (2019).</li>
<li>Li, D., Zheng, L., Zhao, D., Xu, Y., Wang, Y. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((The+Role+of+Immune+Cells+in+Recurrent+Spontaneous+Abortion%5BTitle%5D)+AND+%22Reproductive+Sciences%22%5BJournal%5D)">The Role of Immune Cells in Recurrent Spontaneous Abortion.</a> Reproductive Sciences. 28 (12), 3303-3315 (2021).</li>
<li>Diao, L., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((New+endometrial+immune+cell-based+score+%28EI-score%29+for+the+prediction+of+implantation+success+for+patients+undergoing+IVF%2FICSI%5BTitle%5D)+AND+%22Placenta%22%5BJournal%5D)">New endometrial immune cell-based score (EI-score) for the prediction of implantation success for patients undergoing IVF/ICSI.</a> Placenta. 99, 180-188 (2020).</li>
<li>Hewitt, S. C., Korach, K. S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Cell+biology.+A+hand+to+support+the+implantation+window%5BTitle%5D)+AND+%22Science%22%5BJournal%5D)">Cell biology. A hand to support the implantation window.</a> Science. 331 (6019), 863-864 (2011).</li>
<li>Afshar, Y., Stanculescu, A., Miele, L., Fazleabas, A. T. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((The+role+of+chorionic+gonadotropin+and+Notch1+in+implantation%5BTitle%5D)+AND+%22Journal+of+Assisted+Reproduction+and+Genetics%22%5BJournal%5D)">The role of chorionic gonadotropin and Notch1 in implantation.</a> Journal of Assisted Reproduction and Genetics. 24 (7), 296-302 (2007).</li>
<li>Tan, W. C. C., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Overview+of+multiplex+immunohistochemistry%2Fimmunofluorescence+techniques+in+the+era+of+cancer+immunotherapy%5BTitle%5D)+AND+%22Cancer+Communication+%28London%2CEngland%29%22%5BJournal%5D)">Overview of multiplex immunohistochemistry/immunofluorescence techniques in the era of cancer immunotherapy.</a> Cancer Communication (London,England). 40 (4), 135-153 (2020).</li>
<li>Algars, A., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Type+and+location+of+tumor-infiltrating+macrophages+and+lymphatic+vessels+predict+survival+of+colorectal+cancer+patients%5BTitle%5D)+AND+%22International+Journal+of+Cancer%22%5BJournal%5D)">Type and location of tumor-infiltrating macrophages and lymphatic vessels predict survival of colorectal cancer patients.</a> International Journal of Cancer. 131 (4), 864-873 (2012).</li>
<li>Carey, C. D., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Topological+analysis+reveals+a+PD-L1-associated+microenvironmental+niche+for+Reed-Sternberg+cells+in+Hodgkin+lymphoma%5BTitle%5D)+AND+%22Blood%22%5BJournal%5D)">Topological analysis reveals a PD-L1-associated microenvironmental niche for Reed-Sternberg cells in Hodgkin lymphoma.</a> Blood. 130 (22), 2420-2430 (2017).</li>
<li>Ascierto, M. L., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Transcriptional+Mechanisms+of+Resistance+to+Anti-PD-1+Therapy%5BTitle%5D)+AND+%22Clinical+Cancer+Research%22%5BJournal%5D)">Transcriptional Mechanisms of Resistance to Anti-PD-1 Therapy.</a> Clinical Cancer Research. 23 (12), 3168-3180 (2017).</li>
<li>O'Rourke, D. M., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((A+single+dose+of+peripherally+infused+EGFRvIII-directed+CAR+T+cells+mediates+antigen+loss+and+induces+adaptive+resistance+in+patients+with+recurrent+glioblastoma%5BTitle%5D)+AND+%22Science+Translational+Medicine%22%5BJournal%5D)">A single dose of peripherally infused EGFRvIII-directed CAR T cells mediates antigen loss and induces adaptive resistance in patients with recurrent glioblastoma.</a> Science Translational Medicine. 9 (399), eaaa0984(2017).</li>
<li>Canesin, G., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Treatment+with+the+WNT5A-mimicking+peptide+Foxy-5+effectively+reduces+the+metastatic+spread+of+WNT5A-low+prostate+cancer+cells+in+an+orthotopic+mouse+model%5BTitle%5D)+AND+%22PLoS+One%22%5BJournal%5D)">Treatment with the WNT5A-mimicking peptide Foxy-5 effectively reduces the metastatic spread of WNT5A-low prostate cancer cells in an orthotopic mouse model.</a> PLoS One. 12 (9), e0184418(2017).</li>
</ol>

The authors have nothing to disclose.

This protocol established a digital immunohistochemistry image analysis platform to quantitatively analyze endometrial immune cells of RM patients. Here, six&#160;endometrial immune markers were detected to evaluate the endometrial immune microenvironment in RM patients.
A receptive endometrium during the mid-luteal phase is key for successful implantation and pregnancy27,28. Therefore, evaluation of percent endometrial immune cells pl...

Recurrent miscarriage (RM) is the loss of two or more consecutive pregnancies and is a complex disease drawing attention from clinicians in recent years.The incidence rate of RM in women of childbearing age is 1%-5% 1. Results of previous studies show that immune factors are closely associated with the pathogenesis of RM2,3,4,5. Maintaining immune homeostasis at the maternal-fetal interface is required for embryo implantation and development. Endometrial immune cells perform several regulatory roles to maintain this homeostasis, such as promoting trophoblast invasion, remodeling spiral arteries, and contributing to placenta development6,7,8,9.
Aberrant endometrial immune cells in women with RM have previously been reported. Results show a close association between the high density of uterine natural killer cells (uNKs) and the occurrence of RM10,11,12. An increased number of macrophages has been reported in the endometrium of women with RM, compared with those who had a live birth13. Regulatory T cells (Treg) play a role in maternal immune tolerance toward the embryo, and their level and function are decreased in the decidua of RM patients14. Cytotoxicity T cells (CTL) and dendritic cells (DCs) also play a role in the immune regulation of pregnancy15,16. Therefore, a comprehensive quantitative analysis of local endometrial immune cells during the mid-luteal phase could help to better understand the pathogenesis of RM. Some current methods for quantitative analysis of endometrial immune cells use flow cytometry which can accurately label immune cells with multiple markers17,18. However, clinical application of flow cytometry is limited because it can only be performed on fresh tissue. Obtaining fresh tissue is only feasible when a large volume of excess tumor is available, a rare occurrence for endometrium. Immunohistochemistry can observe tissue morphology well in situ and can also label various immune cells, while traditional immunohistochemical techniques cannot perform quantitative analysis of immune cells.
Compared to conventional immunohistochemistry experiments, quantitative immunohistochemical analysis of immune cells in the endometrium has important clinical significance. IHC intensity scoring is usually ranked on a four-point scale or strong and weak in pathological diagnostics and research19,20,21. However, this semi-quantitative technique is subjective, highly inaccurate, and demonstrates significant intra-observer and inter-observer variability22. One possible solution is the application of machine learning, which is valuable indigital image analysis23,24. By providing quantitative measurements, this approach enables a more precise assessment of immune cell infiltration, distribution, and density within the uterine tissue. This quantitative information can help to elucidate the dynamic changes in immune cell populations during the menstrual cycle and in various pathological conditions. Overall, the ability to quantitatively analyze immune cells in the endometrium through immunohistochemistry offers valuable insights into the immune microenvironment of the uterus.
Therefore, the protocol aimed to developed and validated a digital immunohistochemistry image analysis platform to quantitatively analyze endometrial immune cells including uNK cells, Tregs, macrophages, DCs and cytotoxic T cells during the mid-luteal phase in RM patients.

<table><tbody><tr><td>Automated coverslipper</td><td>Sakuraus</td><td>DRS-Prisma-P-JCS&amp;amp;Film-JC2</td><td></td></tr><tr><td>CD163</td><td>GrowGn Biotechnology</td><td>NCL-L-CD163</td><td></td></tr><tr><td>CD1a</td><td>Gene Tech</td><td>GM357129</td><td></td></tr><tr><td>CD56</td><td>Gene Tech</td><td>GT200529</td><td></td></tr><tr><td>CD8</td><td>Novocastra</td><td>NCL-L-CD8-4B11</td><td></td></tr><tr><td>Dehydrator</td><td>Thermo Fisher</td><td>Excelsior ES</td><td></td></tr><tr><td>Digital pathology and</td><td>Indica labs</td><td>HALO</td><td></td></tr><tr><td>Foxp3</td><td>YILIFANG biological</td><td>14-477-82</td><td></td></tr><tr><td>IHC stainer</td><td>Leica</td><td>BOND III</td><td></td></tr><tr><td>Image analysis platform</td><td>Indica labs</td><td>HALO</td><td></td></tr><tr><td>Slide Scanner</td><td>Olympus life science</td><td>VS200</td><td></td></tr></tbody></table>

platform for quantitative detection of endometrial immune cells based on immunohistochemistry and digital image analysis

Platform for Quantitative Detection of Endometrial Immune Cells Based on Immunohistochemistry and Digital Image Analysis

To evaluate the endometrial immune microenvironment of patients with recurrent miscarriage (RM), a digital immunohistochemistry image analysis platform was developed and validated to quantitatively analyze endometrial immune cells during the mid-luteal phase. All endometrium samples were collected during the mid-luteal phase of the menstrual cycle. Paraffin-embedded endometrial tissues were sectioned into 4 &#181;m thick slides, and immunohistochemistry (IHC)staining was carried out for detecting endometrial immune cells, including CD56+ uNK cells, Foxp3+ Tregs, CD163+ M2 macrophages, CD1a+ DCs, and CD8+ T cells. The panoramic slides were scanned using a digital slide scanner and a commercial image analysis system was used for quantitative analysis. The percentage of endometrial immune cells was calculated by dividing the number of immune cells in the total endometrial cells. Using the commercial image analysis system, quantitative evaluation of endometrial immune cells, which are difficult or impossible to analyze with conventional image analysis, could be easily, and accurately analyzed. This methodology can be applied to quantitatively characterize the endometrium microenvironment, including interaction between immune cells, and its heterogeneity for different reproductive failure patients. The platform for quantitative evaluation of endometrial immune cells may be of important clinical significance for the diagnosis and treatment of RM patients.

In order to evaluate endometrial immune cells quantitatively and reduce the instability caused by man-made operational mistakes, we established a digital quantitative analysis platform for endometrial immune cells by using automatic immunohistochemical detection and digital quantitative evaluation system. Immunohistochemistry image analysis platform was established to quantitatively analyze endometrial immune cells of patients with recurrent miscarriage (RM) in the window of implantation. All endometrium tissues were col...

Here, a digital immunohistochemistry image analysis platform was developed and validated to quantitatively analyze the endometrial immune cells of patients with recurrent miscarriages in the window of implantation.

To evaluate the endometrial immune microenvironment of patients with recurrent miscarriage (RM), a digital immunohistochemistry image analysis platform ...

platform-for-quantitative-detection-endometrial-immune-cells-based-on

Research

JoVE Journal

Biology

Here, we describe a simple and accessible strategy for visualizing, quantifying, and mapping immune cells in formalin-fixed paraffin-embedded tumor tissue sections. This methodology combines existing imaging and digital analysis techniques with the purpose of expanding the multiplexing capability and multiparameter analysis of imaging assays.

Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment

Despite the advancements in multiplex immunohistochemistry and multispectral imaging, characterizing the density and clustering of major immune cells simultaneously in the endometrium remains a challenge. This paper describes a detailed multiplex staining protocol and imaging for the simultaneous localization of four immune cell types in the endometrium.

Multiplexed Fluorescent Immunohistochemical Staining of Four Endometrial Immune Cell Types in Recurrent Miscarriage

Here, we present an optimized protocol for imaging entire ovaries for quantitative and qualitative analyses using whole-mount immunostaining, multiphoton microscopy, and 3D visualization and analysis. This protocol accommodates high-throughput, reliable, and repeatable processing that is applicable for toxicology, clinical diagnostics, and genomic assays of ovarian function.

Whole Ovary Immunofluorescence, Clearing, and Multiphoton Microscopy for Quantitative 3D Analysis of the Developing Ovarian Reserve in Mouse

This protocol describes methodologies to establish mouse endometrial epithelial organoids for gene expression and histological analyses.

Establishing 3D Endometrial Organoids from the Mouse Uterus

This protocol describes in detail how immune cell characterization of the tumor microenvironment using multiplex immunohistochemistry is carried out.

Multiplex Immunohistochemical Analysis of the Spatial Immune Cell Landscape of the Tumor Microenvironment

This study presents a pioneering method for quantifying uterine natural killer cell subsets during the window of implantation using advanced multiplexed fluorescent immunohistochemical staining techniques.

Measurement of Four Uterine NK Cell Subtypes Using Multiplexed Fluorescent Immunohistochemical Staining in Women with Repeated Implantation Failure

The described comparative, quantitative proteomic approach aims at obtaining insights into the composition of multiprotein complexes under different conditions and is demonstrated by comparing genetically different strains. For quantitative analysis equal volumes of different fractions from a sucrose density gradient are mixed and analyzed by mass spectrometry.

A New Approach for the Comparative Analysis of Multiprotein Complexes Based on 15N Metabolic Labeling and Quantitative Mass Spectrometry

gDNA enrichment for NGS sequencing is an easy and powerful tool for the study of constitutional mutations. In this article, we present the procedure to analyse simply the complete sequence of 11 genes involved in DNA damage repair.

gDNA Enrichment by a Transposase-based Technology for NGS Analysis of the Whole Sequence of BRCA1, BRCA2, and 9 Genes Involved in DNA Damage Repair

This protocol describes a procedure for enriching ECM proteins from tissues or tumors and deglycosylating and digesting the ECM-enriched preparations into peptides to analyze their protein composition by mass spectrometry.

Enrichment of Extracellular Matrix Proteins from Tissues and Digestion into Peptides for Mass Spectrometry Analysis

This manuscript describes a novel technique which allows the detection of intracellular gene expression after endocytosis of fluorescence-labeled nanoparticles directly in live cells. The method does not require manipulation of the cells and is not restricted with respect to the target gene or species.

Detection of Intracellular Gene Expression in Live Cells of Murine, Human and Porcine Origin Using Fluorescence-labeled Nanoparticles

Learn quantitative detection of endometrial immune cells using immunohistochemistry and digital image analysis in human tissue. This platform enables stable analysis of CD56, CD1a, and Foxp3 cells to study recurrent miscarriage causes.

Platform for Quantitative Detection of Endometrial Immune Cells Based on Immunohistochemistry and Digital Image Analysis

Explore More Videos