德国 Nanoanalytics

全自动细胞跨膜电阻测量仪

设备点

☆  不干扰细胞正常生长环境--测量的数值更加真实

☆  超长时间全自动实时分析--测量的数据更加完整

☆  测量采用更宽的频率范围--拟合的数据更加准确

☆  构建的数理模型更加细致--电生理参数更加丰富

☆  可兼容多种类型培养插件--耗材选择更加多样化

技术原理 

表皮或内皮细胞之间通过紧密连接形成层具选择性的细胞屏障，细胞屏障不仅控制邻近细胞间间隙对各种溶解物的扩散渗透率，而且调控跨细胞物质转运。细胞屏障的存在方面保护了机体免受有害物质的伤害，另方面也限制了治疗性药物的进入。

细胞屏障的通透性可以通过跨膜电阻（即TEER，Transepithelial resistance)来反映，细胞屏障的通透性与跨膜电阻TEER之间的关系为：通透性越高TEER越低，反之亦然。

基本参数

☆  可以直接读取细胞屏障层的电阻值TEER (Ω.cm²)；

☆  *兼容常用厂家的Transwell细胞培养皿。包括BD，Biosciences，Corning，Bio-One，Millipore等。无仪器自带耗材和其他额外耗材；

☆  细胞模块可以同时容纳6/24/48/72/96个培养皿。每个培养皿都有三种型号可选：小孔型（“24孔”型Transwell培养皿），中孔型（“12孔”型Transwell培养皿），大孔型（“6孔”型Transwell培养皿）；

☆  cellZscope细胞模块是放置于标准的细胞培养箱中，实时动态监测，可以监测数秒到数周的细胞动态生物学行为变化。

应用域

cellZscope可应用于内皮屏障相关的研究域：

☆  细胞屏障（血脑屏障、鼻黏膜及消化道屏障等）的性

☆  紧密连接动力学

☆  新型药物研发

☆  药物或毒物对细胞屏障功能的影响

☆  肿瘤侵袭转移

☆  免疫细胞在中枢神经系统疾病中的作用

设备型号

4种不同型号可供选择：cellZscopeE、cellZscope+、cellZscope2、cellZscope3

cellZscopeE

☆  入门的cellZscopeE型号更灵活，如果您没有较高的通量检测，可以选择cellZscopeE

☆  多达6个通道的TER检测

☆  细胞培养环境下实时长时间检测

☆  可以兼容多种transwell小室

☆  操作简单，清洗方便。

cellZscope+

☆  cellZscope+ 型号是德国nanoanalytics公司多年自动化细胞监控设备开发经验的成果集中体现

☆  *和准确的阻抗结果读取，全频谱信息

☆  大的灵活性，不同孔径的细胞培养条件可供选择

☆  可持续，易于使用和维护，不需殊工具，细胞模块上、下部分均可灭菌

☆  cellZscope+型号设计保证了简单的操作和大的灵活性。细胞模块为研究人员提供了监测所有孔的完整的顶部和基底外侧信息。

cellZscope2

☆  cellZscope2型号为基于阻抗的细胞监测提供了些全新的体验

☆  在时间分辨率达到了新的高性能基准。多通道数据采集使cellZscope2提供了较快、*的阻抗输出

☆  殊的易用性，更换培养基等细胞培养常规操作，无需插拔数据线，数据稳定性更高

☆  cellZscope2更快的性能允许更高的吞吐量。在实验前，实验中和实验后，方便细胞模块与控制模块的数据对接

cellZscope3

☆  四个细胞模块，每个有24个孔，可以连接到个cellZscope3控制器，同时测量96个孔

☆  自动化的，快速的全程监控，获得数天或数周的长期监测数据

☆  殊的易用性，更换培养基等细胞培养常规操作，无需插拔数据线，数据稳定性更高

☆  时间分辨率高：cellZscope3每30秒完成单个细胞模块即24孔的检测

四种型号详细比较

应用案例 

■  用跨膜电阻（TEER）值法检测Caco-2细胞屏障的完整性

       用跨膜电阻（TEER）值法检测Caco-2细胞屏障的完整性。Caco-2细胞以5×10³细胞/孔的密度接种于Transwell小室中。前周每隔天更换次新鲜培养基，然后在接下来的两周每天更换次新鲜培养基。并使用NanoAnalytics公司 Cellzscope2软件对所得实时数据进行分析。

       Caco-2细胞培养19天后，细胞跨膜电阻值≥500 Ω·cm²，细胞形成个完整的单层屏障，完整性通过Lucifer Yellow渗透性测试得到进步得到证实，进而单层细胞屏障可用于下步的运输实验。SRL和SRL NCs的细胞毒性呈浓度依赖性（图1B）。SRL和SRL-NCs的半数大抑菌浓度分别为147.51μg/mL和165.41μg/mL。在50μg/mL的SRL和SRL-NCs作用72h后，细胞存活率保持在80%以上。这表明本研究中使用的SRL浓度不会引起显著的细胞毒性。因此，药物对细胞活力的影响可以忽略不计。

       转运实验采用完整紧密连接的肠上皮Caco-2细胞单层作为模型，SRL和SRL-NCs组的跨膜电阻（TEER）值（图1D）在整个转运过程中未显示出任何显著变化，表明在没有紧密连接遭到破坏的情况下，Caco-2细胞单层的完整性得以维持。

       将含药物HBSS缓冲液和空白HBSS缓冲液分别添加到模型顶层（AP）和基底外侧（BL）侧，模拟药物从GIT到血液的吸收和转运途径。也就是说，细胞层从GIT中运出药物并将其输送到血液/肠系膜淋巴。相反，当将药物HBSS缓冲液添加到BL侧和空白HBSS缓冲液添加到AP侧时，模拟了动物血液进入肠腔的过程。计算出SRL-NCs的流出速率由于Papp、BL-AP/Papp、AP-BL与SRL显著不同（图1C）。原因可能是药物被纳米化后药物变得更小，比表面积增加，因此跨单层的转运显著增强。另种可能是细胞占据了整个SRL-NCs结构，因此与SRL组相比，通透性增强，SRL-NCs组AP→BL侧Papp高5.6倍，外排率低。

图1  SRL和SRL-NCs在Caco-2细胞单层屏障的转运。（A）跨膜转运实验示意图；（B）不同浓度SRL和SRL-NCs对Caco-2细胞活力的影响（n=6）。（C）SRL和SRL-NCs-Papp、A-B、Papp、B-A和Caco-2细胞单层的流出比（n=*6，*P<0.01）。（D）Caco-2细胞单层TEER值在整个转运过程中的变化。数据表示为平均标准差。

数据测试

1.细胞屏障的性

cellZscope可以连续监测细胞几天甚至几星期的生理状态。从cellZscope所提供的跨膜电阻值（TEER）和电容值（Ccl）这两个参数可以获知当前的细胞状态，包括融合度和分化度。CaCO₂是源自人类结肠癌细胞系，通常用于药物转运研究，图中cellZscope跟踪记录了CaCO₂细胞层的形成和分化的信息，自动化的记录了从接种细胞开始并持续观察21天。

长时间监测细胞屏障的形成

2.紧密连接动力学

上皮细胞和内皮细胞的跨膜阻抗值与细胞间紧密连接密切相关。紧密连接可影响细胞间物质转运过程。通过cellZscope测量细胞层跨膜电阻可以用于研究紧密连接动力学。图示MDCK细胞对不同浓度的EGTA的反应。

细胞紧密动力学研究

3.新型药物研发

4.药物或毒物对细胞屏障功能的影响

5.肿瘤侵袭转移

6.免疫细胞在中枢神经系统疾病中的作用

发表文章

2021

1. Comparative sensitivity of proliferative and differentiated intestinal epithelial cells to the food contaminant, deoxynivalenol
S. Luo, Ch. Terciolo, M. Neves, S. Puel, Cl. Naylies, Y. Lippi, Ph. Pinton, I.P. Oswald. Environ. Pollut. 277, 116818 (2021). → doi: 10.1016/j.envpol.2021.116818
2. Human induced pluripotent stem cells (BIONi010-C) generate tight cell monolayers with blood-brain barrier traits and functional expression of large neutral amino acid transporter 1 (SLC7A5)
C. Goldeman, M. Andersen, A. Al-Robai, T. Buchholtz, N. Svane, B. Ozgür, B. Holst, E. Shusta, V. Hall, L. Saaby, P. Hyttel, B. Brodin, Eur. J. Pharm. Sci. 156, 105577 (2021). → doi: 10.1016/j.ejps.2020.105577
3. The effect of ultrasound cavitation on endothelial cells
M.S. Karthikesh, X. Yang. Exp. Biol. Med. XX, YY (2021). → doi: 10.1177/1535370220982301
4. Towards the development of a human in vitro model of the blood–brain barrier for virus-associated acute encephalopathy: assessment of the time- and concentration-dependent effects of TNF-a on paracellular tightness
H. Maeda, K. Hashimoto, H. Go, K. Miyazaki, M. Sato, Y. Kawasaki, N. Momoi, M. Hosoya. Exp. Brain Res. 239, 451 (2021). → doi: 10.1007/s00221-020-05985-7
5. Generation and Characterization of Immortalized Mouse Cortical Astrocytes From Wildtype and Connexin43 Knockout Mice
A. Cibelli, S.V. Lopez-Quintero, S. McCutcheon, E. Scemes, D.C. Spray, R.F. Stout Jr., S.O. Suadicani, M.M. Thi, M. Urban-Maldonado Front. Cell. Neurosci. 15, 647109 (2021). → doi: 10.3389/fncel.2021.647109
6. Lecithin coating as universal stabilization and functionalization strategy for nanosized drug carriers to overcome the blood–brain barrier
A.Wünsch, D.Mulac, K.Langer. Int. J. Pharm. 593, 120146 (2021). → doi: 10.1016/j.ijpharm.2020.120146
7. AMP-activated protein kinase is a key regulator of acute neurovascular permeability
S. Dragoni, B. Caridi, E. Karatsai, T. Burgoyne, M.H. Sarker, P. Turowski. J. Cell Sci. XX, YY (2021). → doi: 10.1242/jcs.253179
8. Tight junctions in the blood–brain barrier promote edema formation and infarct size in stroke – Ambivalent effects of sealing proteins
L. Winkler, R. Blasig, O. Breitkreuz-Korff, Ph. Berndt, S. Dithmer, H.C. Helms, D. Puchkov, K. Devraj, M. Kaya, Z. Qin, S. Liebner, H. Wolburg, A.V. Andjelkovic, A. Rex, I.E. Blasig, R.F. Haseloff, J. Cereb. Blood Flow Metab. 41, 132 (2021). → doi: 10.1177/0271678X20904687
9. Meprin ß: A novel regulator of blood–brain barrier integrity
M. Gindorf, S.E. Storck, A. Ohler, F. Scharfenberg, Ch. Becker-Pauly, C.U. Pietrzik, J. Cereb. Blood Flow Metab. 41, 31 (2021). → doi: 10.1177/0271678X20905206
10. Macrophage-mediated vascular permeability via VLA4/VCAM1 pathway dictates ascites development in ovarian cancer
S. Zhang, B. Xie, L. Wang, H. Yang, H. Zhang, Y. Chen, F. Wang, Ch. Liu, H. He, J. Clin. Invest. 131, e140315 (2021). → doi: 10.1172/JCI140315
11. Development of an In Vitro Airway Epithelial–Endothelial Cell Culture Model on a Flexible Porous Poly(Trimethylene Carbonate) Membrane Based on Calu-3 Airway Epithelial Cells and Lung Microvascular Endothelial Cells
T. Pasman, D. Baptista, S. van Riet, R.K. Truckenmüller, P.S. Hiemstra, R.J. Rottier, N.M. Hamelmann, J.M.J. Paulusse, D. Stamatialis, Á.A. Poot Membranes 11, 197 (2021). → doi: 10.3390/membranes11030197
12. Capabilities of selenoneine to cross the in vitro blood–brain barrier model
E. Drobyshev, S. Raschke, R.A. Glabonjat, J. Bornhorst, F. Ebert, D. Kuehnelt, T. Schwerdtle. Metallomics 13, mfaa007 (2021). → doi: 10.1093/mtomcs/mfaa007
13. TGF-ß1 increases permeability of ciliated airway epithelia via redistribution of claudin 3 from tight junction into cell nuclei
C. Schilpp, R. Lochbaum, P. Braubach, D. Jonigk, M. Frick, P. Dietl, O.H. Wittekindt. Pfluegers Arch. 473, 287 (2021). → doi: 10.1007/s00424-020-02501-2
14. SZR-104, a Novel Kynurenic Acid Analogue with High Permeability through the Blood–Brain Barrier
K. Molnár, B. Lorinczi, C. Fazakas, I. Szatmári, F. Fülöp, N. Kmetykó, R. Berkecz, I. Ilisz, I.A. Krizbai, I. Wilhelm,L. Vécsei. Pharmaceutics 13, 61 (2021). → doi: 10.3390/pharmaceutics13010061
15. Endothelial Iron Homeostasis Regulates Blood-Brain Barrier Integrity via the HIF2a—Ve-Cadherin Pathway
D. Rand, O. Ravid, D. Atrakchi, H. Israelov, Y. Bresler, Ch. Shemesh, L. Omesi, S. Liraz-Zaltsman, F. Gosselet, T.S. Maskrey, M. Schnaider Beeri, P. Wipf, I. Cooper Pharmaceutics 13, 311 (2021). → doi: 10.3390/pharmaceutics13030311
16. Astrocyte-derived Wnt growth factors are required for endothelial blood-brain barrier maintenance
S. Guerit, E. Fidan, J. Macas, C.J. CCzupalla, R. Figueiredo, A. Vijikumar, B.H. Yalcin, S. Thom, P. Winter, H. Gerhardt, K. Devraj, S. Liebner. Prog. Neurobiol. 199, 101937 (2021). → doi: 10.1016/j.pneurobio.2020.101937
17. Role of the C5a-C5a receptor axis in the inflammatory responses of the lungs after experimental polytrauma and hemorrhagic shock
S. Chakraborty, V.E. Winkelmann, S. Braumüller, A. Palmer, A. Schultze, B. Klohs, A. Ignatius, A. Vater, M. Fauler, M. Frick, M. Huber-Lang. Sci. Rep. 11, 2158 (2021). → doi: 10.1038/s41598-020-79607-1
18. Pharmacological targeting of host chaperones protects from pertussis toxin in vitro and in vivo
K. Ernst, A.-K. Mittler, V. Winkelmann, C. Kling, N. Eberhardt, A. Anastasia, M. Sonnabend, R. Lochbaum, J. Wirsching, M. Sakari, A.T. Pulliainen, C. Skerry, N.H. Carbonetti, M. Frick, H. Barth. Sci. Rep. 11, 5429 (2021). → doi: 10.1038/s41598-021-84817-2
19. Repeated exposure of Caco-2 versus Caco-2/HT29-MTX intestinal cell models to (nano)silver in vitro: Comparison of two commercially available colloidal silver products
20. K. Gillois, Ch. Stoffels, M. Leveque, I. Fourquaux, J. Blesson, V. Mils, S. Cambier, J. Vignard, H. Terrisse, G. Mirey, J.-N. Audinot, V. Theodorou, M.-H. Ropers, H. Robert, M. Mercier-Bonin. Sci. Total Environ. 754, 14232 (2021). → doi: 10.1016/j.scitotenv.2020.142324
21. Microfluidic In Vitro Platform for (Nano)Safety and (Nano)Drug Efficiency Screening
Y. Kohl, M. Biehl, S. Spring, M. Hesler, V. Ogourtsov, M. Todorovic, J. Owen, E. Elje, K. Kopecka, O.H. Moriones, N.G. Bastús, P. Simon, T. Dubaj, E. Rundén-Pran, V. Puntes, N. William, H. von Briesen, S. Wagner, N. Kapur, E. Mariussen, A. Nelson, A. Gabelova, M. Dusinska, Th. Velten, Th. Knoll. Small XX, YY (2021). → doi: 10.1002/smll.202006012
22. Human Astroviruses: A Tale of Two Strains
V. Hargest, A.E. Davis, S. Tan, V. Cortez, S. Schultz-Cherry. Viruses 13, 376 (2021). → doi: 10.3390/v13030376

2020

1. Genomic and phenotypic stability of Lactobacillus rhamnosus GG in an industrial production process
M. Stage, A. Wichmann Gustafsson, M. Jørgensen, N.I. Vera-Jimenéz, M. Wielje, D.S. Nielsen, A. Sandelin, Y. Chen, A. Baker
Appl. Environ. Microbiol. XX, YY (2020). → doi: 10.1128/AEM.02780-19

2. Retinoic acid signalling adjusts tight junction permeability in response to air-liquid interface conditions
R. Lochbaum, C. Schilpp, L. Nonnenmacher, M. Frick, P. Dietl, O.H. Wittekindt
Cell. Signalling 65, 1094213 (2020). → doi: 10.1016/j.cellsig.2019.109421

3. Synthesis and in vitro evaluation of cyclodextrin hyaluronic acid conjugates as a new candidate for intestinal drug carrier for steroid hormones
M. Heslera, D.H.Schwarz, S. Dähnhardt-Pfeiffer, S. Wagner, H. von Briesen, G. Wenz, Y. Kohl
Eur. J. Pharm. Sci. 143, 105181 (2020). → doi: 10.1016/j.ejps.2019.105181

4. Serine proteases as luminal mediators of intestinal barrier dysfunction and symptom severity in IBS
S. Edogawa, A. Ledwinson, S.A. Peters, L.L. Chikkamenahalli, W. Sundt, S. Graves, S.V. Gurunathan, M. Breen-Lyles, S. Johnson, R. Dyer, R. Graham, J. Chen, P. Kashyap, G. Farrugia, M. Grover. Gut 69, 62 (2020). → doi: 10.1136/gutjnl-2018-317416

5. TGR5-dependent hepatoprotection through the regulation of biliary epithelium barrier function
G. Merlen, N. Kahale, J. Ursic-Bedoya, V. Bidault-Jourdainne, H. Simerabet, I. Doignon, Z. Tanfin, I. Garcin, N. Péan, J. Gautherot, A. Davit-Spraul, C. Guettier, L. Humbert, D. Rainteau, K. Ebnet, Ch. Ullmer, D. Cassio, T. Tordjmann. Gut 69, 146 (2020). → doi: 10.1136/gutjnl-2018-31697

6. Enteropathogenic Escherichia coli (EPEC) Recruitment of PAR Polarity Protein Atypical PKC? to Pedestals and Cell–Cell Contacts Precedes Disruption of Tight Junctions in Intestinal Epithelial Cells
R. Tapia, S.E. Kralicek, G.A. Hecht Int. J. Mol. Sci. 21, 527 (2020). → doi: 10.3390/ijms21020527

7. Meprin ß: A novel regulator of blood–brain barrier integrity
M. Gindorf, S.E. Storck, A. Ohler, F. Scharfenberg, Ch. Becker-Pauly, C.U. Pietrzik, J. Cereb. Blood Flow Metab. XX, YY (2020). → doi: 10.1177/0271678X20905206

8. Tight junctions in the blood–brain barrier promote edema formation and infarct size in stroke – Ambivalent effects of sealing proteins
L. Winkler, R. Blasig, O. Breitkreuz-Korff, Ph. Berndt, S. Dithmer, H.C. Helms, D. Puchkov, K. Devraj, M. Kaya, Z. Qin, S. Liebner, H. Wolburg, A.V. Andjelkovic, A. Rex, I.E. Blasig, R.F. Haseloff, J. Cereb. Blood Flow Metab. XX, YY (2020). → doi: 10.1177/0271678X20904687

9. Identification of Parthenolide Dimers as Activators of Pyruvate Kinase M2 in Xenografts of Glioblastoma Multiforme in Vivo
Y. Ding, Q. Xue, S. Liu, K. Hu, D. Wang, T. Wang, Y. Li, H. Guo, X. Hao, W. Ge, Y. Zhang, A. Li J. Li, Y. Chen, Q. Zhang, J. Med. Chem. XX, YY (2020). → doi: 10.1021/acs.jmedchem.9b01328

10. Monophosphoryl Lipid a Attenuates Multiorgan Dysfunction During Post-Burn Pseudomonas Aeruginosa Pneumonia in Sheep
S. Fukuda, K. Ihara, J.K. Bohannon, A. Hernandez, N.K. Patil, L. Luan, C. Stothers, R. Stark, D.S. Prough, D.N. Herndon, E.R. Sherwood, P. Enkhbaatar, Shock 53, 307 (2020). → doi: 10.1097/SHK.0000000000001364

11. Claudin-12 deficiency causes nerve barrier breakdown, mechanical hypersensitivity and painfulness in polyneuropathy
J.T.-C. Chen, X. Hu, K. Doppler, O. Breitkreuz-Korff, I.U.C. Otto, J. Schwabe, A.-K. Reinhold, D. Günzel, S. Dithmer, M.K. Hankir, P. Fallier-Becker, L. Winkler, R. Blasig, C. Sommer, A. Brack, I.E. Blasig, H.L. Rittner. XX, YY (2020). → doi: 10.1101/768267 

2019

1. Enhanced Bioavailability by Orally Administered Sirolimus Nanocrystals
J. Kong, K. Wu, Y. Ji, K. Chen, J. Zhang, H. Sun, Y. Liang, W. Liang, Y. Chang, J. Cheng, J. Tong, J. Li, G. Xing, G. Chen. ACS Appl. Bio Mater. 2, 4612 (2019). → doi: 10.1021/acsabm.9b00695

2. Effect of E Cigarette Emissions on Tracheal Cells Monitored at the Air–Liquid Interface Using an Organic Electrochemical Transistor
M.P. Ferro, L. Leclerc, M. Sleiman, B. Marchiori, J. Pourchez, R.M. Owens, M. Ramuz
Adv. Biosys. 3, 1800249 (2019). → doi: 10.1002/adbi.201800249

3. Oxidative Stress Increases Endogenous Complement-Dependent Inflammatory and Angiogenic Responses in Retinal Pigment Epithelial Cells Independently of Exogenous Complement Sources
T.-O. Trakkides, N. Schäfer, M. Reichenthaler, K. Kühn, R.J.M.G.E. Brandwijk, E.J.M. Toonen, F. Urban, J. Wegener, V. Enzmann, D. Pauly
Antioxidants 8, 548 (2019). → doi: 10.3390/antiox8110548

4. Non-pooled Human Platelet Lysate: A Potential Serum Alternative for In Vitro Cell Culture
M. Hesler, Y. Kohl, S. Wagner, H. von Briesen
ATLA, Altern. Lab. Anim. 47, 116 (2019). → doi: 10.1177/0261192919882516

5. Differential modulation of transendothelial electrical resistance by TRPV4 agonists is mediated by apoptosis and/or necrosis
N. Pairet , S. Mang, T. Kiechle, N. Laufhäger, P. Dietl, D.J. Lamb
Biochem. Biophys. Rep. 20, 100672 (2019). → doi: 10.1016/j.bbrep.2019.100672

6. Targeting claudin-4 enhances chemosensitivity of pancreatic ductal carcinomas
T. Sasaki, R. Fujiwara-Tani, S. Kishi, S. Mori, Y. Luo, H. Ohmori, I. Kawahara, K. Goto, Y. Nishiguchi, T. Mori, M. Sho, M. Kondo, H. Kuniyasu
Cancer Med. 8, 6700 (2019). → doi: 10.1002/cam4.2547

7. Toll-like receptor 3-mediated inflammation by p38 is enhanced by endothelial nitric oxide synthase knockdown
S.R. Koch, H. Choi, E.H. Mace, R.J. Stark
Cell Commun. Signaling 17, 33 (2019). → doi: 10.1186/s12964-019-0345-3

8. Stimulation of the A2B Adenosine Receptor Subtype Enhances Connexin26 Hemichannel Activity in Small Airway Epithelial Cells
A. Dierksa, A. Badera, T. Lehricha, A. Ngezahayo
Cell. Physiol. Biochem. 53, 606 (2019). → doi: 10.33594/000000160

9. Endothelial tight junctions and their regulatory signaling pathway
X. Cong, W. Kong
Cell. Signalling 66, 109485 (2019). → doi: 10.1016/j.cellsig.2019.109485

10. Syncytiotrophoblast of Placentae from Women with Zika Virus Infection Has Altered Tight Junction Protein Expression and Increased Paracellular Permeability
J. Miranda, D. Martín-Tapia, Y. Valdespino-Vázquez, L. Alarcón, A. Espejel-Nuñez, M. Guzmán-Huerta, J.E. Muñoz-Medina, M. Shibayama, B. Chávez-Munguía, G. Estrada-Gutiérrez, S. Lievano, J.E. Ludert, L. González-Mariscal
Cells 8, 1174 (2019). → doi: 10.3390/cells8101174

11. Transient blood–brain barrier disruption isinduced by low pulsed electrical fields in vitro: ananalysis of permeability and trans-endothelialelectric resistivity
S. Sharabi, Y. Bresler, O. Ravid, Ch. Shemesh, D. Atrakchi, M. Schnaider-Beeri, F. Gosselet, L. Dehouck, D. Last, D. Guez, D. Daniels, Y. Mardor, I. Cooper
Drug Delivery 26, 459 (2019). → doi: 10.1080/10717544.2019.1571123

12. In vitro and in vivo effects of a mycotoxin, deoxynivalenol, and a trace metal, cadmium, alone or in a mixture on the intestinal barrier
S. Luo, Ch. Terciolo, A.P.F.L. Bracarense, D. Payros, Ph. Pinton, I.P. Oswald
Environ. Int. 132, 105082 (2019). → doi: 10.1016/j.envint.2019.105082

13. A unified in vitro test system for the assessment of tight junction modulators
D. Saaber, S. Reichl
Eur. J. Pharm. Biopharm. 142, 353 (2019). → doi: 10.1016/j.ejpb.2019.07.004

14. The impact of gastrointestinal mucus on nanoparticle penetration – in vitro evaluation of mucus-penetrating nanoparticles for photodynamic therapy
L. Mahlert, J. Anderski, D. Mulac, K. Langer
Eur. J. Pharm. Sci. 133, 28 (2019). → doi: 10.1016/j.ejps.2019.03.010

15. Revisiting an old antibiotic: bacitracin neutralizes binary bacterial toxins and protects cells from intoxication
L. Schnell, I. Felix, B. Müller, M. Sadi, F. von Bank, P. Papatheodorou, M.R. Popoff, K. Aktories, E. Waltenberger, R. Benz, C. Weichbrodt, M. Fauler, M. Frick, H. Barth
FASEB J. 33, 5755 (2019). → doi: 10.1096/fj.201802453R

16. Impedance Spectroscopy as a Tool for Monitoring Performance in 3D Models of Epithelial Tissues
T. Gerasimenko, S. Nikulin, G. Zakharova, A. Poloznikov, V. Petrov, A. Baranova, A. Tonevitsky
Front. Bioeng. Biotechnol. 7, 474 (2019). → doi: 10.3389/fbioe.2019.00474

17. PECAM-1 Stabilizes Blood-Brain Barrier Integrity and Favors Paracellular T-Cell Diapedesis Across the Blood-Brain Barrier During Neuroinflammation
I. Wimmer, S. Tietz, H. Nishihara, U. Deutsch, F. Sallusto, F. Gosselet, R. Lyck, W.A. Muller, H. Lassmann, B. Engelhardt
Front. Immunol. 10, 711 (2019). → doi: 10.3389/fimmu.2019.00711

18. Autophagy Protects the Blood-Brain Barrier Through Regulating the Dynamic of Claudin-5 in Short-Term Starvation

Z. Yang, Ch. Huang, Y. Wu, B. Chen, W. Zhang, J. Zhang
Front. Physiol. 10, 2 (2019). → doi: 10.3389/fphys.2019.00002

19. Structure and biological activities of a hexosamine-rich cell wall polysaccharide isolated from the probiotic Lactobacillus farciminis
E. Maes, I. Sadovskaya, M. Lévêque, E. Elass-Rochard, B. Payré, Th. Grard, V. Théodorou, Y. Guérardel, M. Mercier-Bonin
Glycoconjugate J. 36, 39 (2019). → doi: 10.1007/s10719-018-09854-y

20. IL-13 Impairs Tight Junctions in Airway Epithelia
H. Schmidt, P. Braubach, C. Schilpp, R. Lochbaum, K. Neuland, K. Thompson, D. Jonigk, M. Frick, P. Dietl, O.H. Wittekindt
Int. J. Mol. Sci. 20, 3222 (2019). → doi: 10.3390/ijms20133222

21. Temporal Effects of Quercetin on Tight Junction Barrier Properties and Claudin Expression and Localization in MDCK II Cells
E. Gamero-Estevez, S. Andonian, B. Jean-Claude, I. Gupta, A.K. Ryan
Int. J. Mol. Sci. 20, 4889 (2019). → doi: 10.3390/ijms20194889

22. The Influence of Capsaicin on the Integrity of Microvascular Endothelial Cell Monolayers
M. Kaiser, M. Burek, S. Britz, F. Lankamp, S. Ketelhut, B. Kemper, C. Förster, Ch. Gorzelanny, F.M. Goycoolea
Int. J. Mol. Sci. 20, 122 (2019). → doi: 10.3390/ijms20010122

23. Controversial roles for dexamethasone in glioblastoma – Opportunities for novel vascular targeting therapies
D. Dubinski, E. Hattingen, Ch. Senft, V. Seifert, K.G. Peters, Y. Reiss, K. Devraj, K.H. Plate
J. Cereb. Blood Flow Metab. 39, 1460 (2019). → doi: 10.1177/0271678X19859847

24. Short communication: Processed bovine colostrum milk protein concentrate increases epithelial barrier integrity of Caco-2 cell layers
R.C. Anderson, J.E. Dalziel, N.W. Haggarty, K.E. Dunstan, P.K. Gopal, N.C. Roy
J. Dairy Sci. 102, 10772 (2019). → doi: 10.3168/jds.2019-16951

25. Impact of Docetaxel on blood-brain barrier function and formation of breast cancer brain metastases
S. Bernatz, E.I. Ilina, K. Devraj, P.N. Harter, K. Mueller, S. Kleber, Y. Braun, C. Penski, Ch. Renner, R. Halder, L. Jennewein, Ch. Solbach, F. Thorsen, B.C. Pestalozzi, A. Mischo, M. Mittelbronn
J. Exp. Clin. Cancer Res. 38, 434 (2019). → doi: 10.1186/s13046-019-1427-1

26. Fucosyltransferase 4 and 7 mediates adhesion of non-small cell lung cancer cells to brain-derived endothelial cells and results in modification of the blood–brain-barrier: in vitro investigation of CD15 and CD15s in lung-to-brain metastasis
S.A. Jassam, Z. Maherally, K. Ashkan, G.J. Pilkington, H.L. Fillmore
J. Neuro-Oncol. 143, 405 (2019). → doi: 0.1007/s11060-019-03188-x

27. Haem iron reshapes colonic luminal environment: impact on mucosal homeostasis and microbiome through aldehyde formation
O.C.B. Martin, M. Olier, S. Ellero-Simatos, N. Naud, J. Dupuy, L. Huc, S. Taché, V. Graillot, M. Levêque, V. Bézirard, C. Héliès-Toussaint, F.B.Y. Estrada, V. Tondereau, Y. Lippi, C. Naylies, L. Peyriga, C. Canlet, A.M. Davila, F. Blachier, L. Ferrier, E. Boutet-Robinet, F. Guéraud, V. Théodorou, F.H.F. Pierre
Microbiome 7, 72 (2019). → doi: 10.1186/s40168-019-0685-7

28. Improved Drug Delivery to Brain Metastases by Peptide-Mediated Permeabilization of the Blood–Brain Barrier
S.N. Aasen, H. Espedal, Ch.F. Holte, O. Keunen, T.V. Karlsen, O. Tenstad, Z. Maherally, H. Miletic, T. Hoang, A.V. Eikeland, H. Baghirov, D.E. Olberg, G.J. Pilkington, G. Sarkar, R.B. Jenkins, T. Sundstrøm, R. Bjerkvig, F. Thorsen
Mol. Cancer Ther. 18, 2171 (2019). → doi: 10.1158/1535-7163.MCT-19-0160

29. LRP1 Has a Predominant Role in Production over Clearance of Aß in a Mouse Model of Alzheimer’s Disease
B. Van Gool, S.E. Storck, S.M. Reekmans, B. Lechat, Ph.L.S.M. Gordts, L. Pradier, C.U. Pietrzik, A.J.M. Roebroek
Mol. Neurobiol. 56, 7234 (2019). → doi: 10.1007/s12035-019-1594-2
30. Side-directed Transfer and Presystemic Metabolism of Selenoneine in a Human Intestinal Barrier Model
I. Rohn, N. Kroepfl, J. Bornhorst, D. Kuehnelt, T. Schwerdtle
Mol. Nutr. Food Res. 63, 1900080 (2019). → doi: 10.1002/mnfr.201900080
31. Polyphenol Extracts from Three Colombian Passifloras (Passion Fruits) Prevent Inflammation-Induced Barrier Dysfunction of Caco-2 Cells
J.C. Carmona-Hernandez, G. Taborda-Ocampo, J.C. Valdez, B.W. Bolling, C.H. González-Correa
Molecules 24, 4614 (2019). → doi: 10.3390/molecules24244614
32. Dietary tryptophan links encephalogenicity of autoreactive T cells with gut microbial ecology
J.K. Sonner, M. Keil, M. Falk-Paulsen, N. Mishra, A. Rehman, M. Kramer, K. Deumelandt, J. Röwe, K. Sanghvi, L. Wolf, A. von Landenberg, H. Wolff, R. Bharti, I. Oezen, T.V. Lanz, F. Wanke, Y. Tang, I. Brandao, S.R. Mohapatra, L. Epping, A. Grill, R. Röth, B. Niesler, S.G. Meuth, Ch.A. Opitz, J.G. Okun Ch. Reinhardt, F.C. Kurschus, W. Wick, H.B. Bode, Ph. Rosenstiel, M. Platten
Nat. Commun. 10, 4877 (2019). → doi: 10.1038/s41467-019-12776-4
33. Crossing the blood-brain-barrier with nanoligand drug carriers self-assembled from a phage display peptide
L.-P. Wu, D. Ahmadvand, J. Su, A. Hall, X. Tan, Z.S. Farhangrazi, S.M. Moghimi
Nat. Commun. 10, 4635 (2019). → doi: 10.1038/s41467-019-12554-2
34. Targeting claudin-4 enhances CDDP-chemosensitivity in gastric cancer
Y. Nishiguchi, R. Fujiwara-Tani, T. Sasaki, Y. Luo, H. Ohmori, S. Kishi, S. Mori, K. Goto, W. Yasui, M. Sho, H. Kuniyasu
Oncotarget 10, 2189 (2019). → doi: 10.18632/oncotarget.26758
35. Corticosteroid signaling at the brain-immune interface impedes coping with severe psychological stress
A. Kertser, K. Baruch, A. Deczkowska, A. Weiner, T. Croese, M. Kenigsbuch, I. Cooper, M. Tsoory, S. Ben-Hamo, I. Amit, M. Schwartz
Sci. Adv. 5, eaav4111 (2019). → doi: 10.1126/sciadv.aav4111
36. Claudin-3-deficient C57BL/6J mice display intact brain barriers
M.C. Dias, C. Coisne, I. Lazarevic, P. Baden, M. Hata, N. Iwamoto, D.M.F. Francisco, M. Vanlandewijck, L. He, F.A. Baier, D. Stroka, R. Bruggmann, R. Lyck, G. Enzmann, U. Deutsch, Ch. Betsholtz, M. Furuse, S. Tsukita & B. Engelhardt
Sci. Rep. 9, 203 (2019). → doi: 10.1038/s41598-018-36731-3
37. Unraveling In Vivo Brain Transport of Protein-Coated Fluorescent Nanodiamonds
P. Moscariello, M. Raabe, W. Liu, S. Bernhardt, H. Qi, U. Kaiser, Y. Wu, T. Weil, H.J. Luhmann, J. Hedrich
Small 15, 1902992 (2019). → doi: 10.1002/smll.201902992
38. The Antibiotic Bacitracin Protects Human Intestinal Epithelial Cells and Stem Cell-Derived Intestinal Organoids from Clostridium difficile Toxin TcdB
Z. Zhu, L. Schnell, B. Müller, M. Müller, P. Papatheodorou, H. Barth

Stem Cells Int. 2019, 4149762 (2019). → doi: 10.1155/2019/4149762
39. Multi-endpoint toxicological assessment of polystyrene nano- and microparticles in different biological models in vitro
M. Heslera, L. Aengenheister, B. Ellinger, R. Drexel, S. Straskraba, C. Jost, S. Wagner, F. Meier, H. von Briesen, C. Büchel, P. Wick, T. Buerki-Thurnherr, Y. Kohl
Toxicol. In Vitro 61, 104610 (2019). → doi: 10.1016/j.tiv.2019.104610
40. Modelling Macular Edema: The Effect of IL-6 and IL-6R Blockade on Human Blood–Retinal Barrier Integrity In Vitro
M. Mesquida, F. Drawnel, P.J. Lait, D.A. Copland, M.L. Stimpson, V. Lloren, M.S. de la Maza, A. Adan, G. Widmer, P. Strassburger, S. Fauser, A.D. Dick, R.W. J. Lee, B. Molins
Transl. Vis. Sci. Techn. 8, 32 (2019). → doi: 10.1167/tvst.8.5.32

2018

1. Brain Delivery of Multifunctional Dendrimer Protein Bioconjugates. Adv. Sci. (2018). 
2. Importance of the IL-1 Axis in Haemophilus influenzae–stimulated M1 Macrophages Driving Transepithelial Signaling. Am. J. Respir. Cell Mol. Biol. (2018). 
3. Effects of arsenolipids on in vitro blood-brain barrier model. Arch. Toxicol. (2018).
4. Reversible opening of the blood-brain barrier by claudin-5-binding variants of Clostridium perfringens enterotoxin's claudin-binding domain. Biomaterials. (2018).
5. HtrA1 Mediated Intracellular Effects on Tubulin Using a Polarized RPE Disease Model. EBioMedicine. (2018).
6. Real-time acquisition of transendothelial electrical resistance in an all-human, in vitro, 3-dimensional, blood–brain barrier model exemplifies tight-junction integrity. FASEB J. (2018)
7. Alteration of sphingolipid metabolism as a putative mechanism underlying LPS-induced BBB disruption. J. Neurochem. (2018).

8. A novel human induced pluripotent stem cell blood-brain barrier model: Applicability to study antibody-triggered receptor-mediated transcytosis. Sci. Rep. (2018). 

9. Optimized procedures for generating an enhanced, near physiological 2D culture system from porcine intestinal organoids. Stem Cell Res. (2018).

10. Localized delivery of curcumin into brain with polysorbate 80-modified cerasomes by ultrasound-targeted microbubble destruction for improved Parkinson's disease therapy. Theranostics. (2018). 

2017

1. Insights from mathematical modelling for T cell migration into the central nervous system. Math. Med. Biol. (2017)

2. Establishment of a method for evaluating endothelial cell injury by TNF-α in vitro for clarifying the pathophysiology of virus-associated acute encephalopathy. Pediatr. Res. (2017)

3. Development of Blood-Brain Barrier Permeable Nanoparticles as Potential Carriers for Salvianolic Acid B to CNS. Planta Med. (2017)

4. Establishment of a Human Blood-Brain Barrier Co-culture Model Mimicking the Neurovascular Unit Using Induced Pluri- and Multipotent Stem Cells. Stem Cell Rep. (2017)

5. Exfoliated graphene nanosheets: pH-sensitive drug carrier and anti-cancer activity. J. Colloid Interface Sci. (2017)

6. Endothelial Basement Membrane Laminin 511 Contributes to Endothelial Junctional Tightness and Thereby Inhibits Leukocyte Transmigration. Cell Rep. (2017)

7. Dual role of ALCAM in neuroinflammation and blood–brain barrier homeostasis. PNAS .(2017)

8. Gb3-binding lectins as potential carriers for transcellular drug delivery. Drug Delivery. (2017)

9. Early-lactation, but not mid-lactation, bovine lactoferrin preparation increases epithelial barrier integrity of Caco-2 cell layers. J. Dairy Sci. (2017)

10. Primary porcine brain endothelial cells as in vitro model to study effects of ultrasound on blood-brain barrier function. IEEE Trans. Sonics Ultrason. (2017)

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*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

用户单位

部分国内用户：