scholarly journals Establishment of HLA class I and MICA/B null HEK-293T panel expressing single MICA alleles to detect anti-MICA antibodies

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ji-Ho Jeon ◽  
In-Cheol Baek ◽  
Cheol-Hwa Hong ◽  
Ki Hyun Park ◽  
Hyeyoung Lee ◽  
...  

AbstractPre- and post-transplantation anti-MICA antibody detection development are associated with an increased rejection risk and low graft survival. We previously generated HLA class I null HEK-293T using CRISPR/Cas9, while MICA and MICB genes were removed in this study. A panel of 11 cell lines expressing single MICA alleles was established. Anti-MICA antibody in the sera of kidney transplant patients was determined using flow cytometric method (FCM) and the Luminex method. In the 44 positive sera, the maximum FCM value was 2879 MFI compared to 28,135 MFI of Luminex method. Eleven sera (25%) were determined as positive by FCM and 32 sera (72%) were positive by the Luminex method. The sum of total MICA antigens, MICA*002, *004, *009, *019, and *027 correlation showed a statistically significant between the two methods (P = 0.0412, P = 0.0476, P = 0.0019, P = 0.0098, P = 0.0467, and P = 0.0049). These results demonstrated that HEK-293T-based engineered cell lines expressing single MICA alleles were suitable for measuring specific antibodies against MICA antigens in the sera of transplant patients. Studies of antibodies to MICA antigens may help to understand responses in vivo and increase clinical relevance at the cellular level such as complement-dependent cytotoxicity.

2021 ◽  
Author(s):  
Ji-Ho Jeon ◽  
In-Cheol Baek ◽  
Cheol-Hwa Hong ◽  
Ki Hyun Park ◽  
Hyeyoung Lee ◽  
...  

Abstract Pre- and post-transplantation anti-MICA antibody detection development are associated with an increased rejection risk and low graft survival. We previously generated HLA class I null HEK-293T using CRISPR/Cas9, while MICA and MICB genes were removed in this study. A panel of 11 cell lines expressing single MICA alleles was established. Anti-MICA antibody in the sera of kidney transplant patients was determined using FCM (flow cytometric method) and the Luminex method. In the 44 positive sera, the maximum FCM value was 2,879 MFI compared to 28,135 MFI of Luminex method. Eleven sera (25%) were determined as positive by FCM and 32 sera (72%) were positive by the Luminex method. The sum of total MICA antigens, MICA*002, *004, *009, *019, and *027 correlation showed a statistically significant between the two methods (P = 0.0412, P = 0.0476, P = 0.0019, P = 0.0098, P = 0.0467, and P = 0.0049). These results demonstrated that HEK-293T-based engineered cell lines expressing single MICA alleles were suitable for measuring specific antibodies against MICA antigens in the sera of transplant patients. Studies of antibodies to MICA antigens may help to understand responses in vivo and increase clinical relevance at the cellular level such as complement-dependent cytotoxicity.


2011 ◽  
Vol 60 (11) ◽  
pp. 1639-1645 ◽  
Author(s):  
Riccardo Turrini ◽  
Anna Merlo ◽  
Riccardo Dolcetti ◽  
Paola Zanovello ◽  
Antonio Rosato

2021 ◽  
Vol 9 (Suppl 3) ◽  
pp. A876-A876
Author(s):  
Valentina Ferrari ◽  
Alessia Melacarne ◽  
Francesca Algieri ◽  
Maria Rescigno

BackgroundTumor cell clearance by cytotoxic T lymphocytes (CTL) requires expression of relevant antigens on HLA Class I molecules on the surface of tumor cells. Reduced levels of HLA Class I expression is a common method of immune escape, as it hampers tumor-specific CTLs’ ability to detect, recognize, and eliminate tumor cells. Recent data have shown that gut microbiota have a major impact on the clinical response to immune checkpoint inhibitors (ICIs), which could be due to a direct effect on malignant cells. Our hypothesis is that microbiota can influence the immune response by altering HLA Class I expression on tumor cells.MethodsTo investigate the ability of bacteria-based products to upregulate HLA Class I expression, we tested two different proprietary microbial derivatives (MDs) on multiple murine and human tumor primary and immortalized cell lines from various tissues, including: breast, myeloid, melanoma, and colon. We next examined if the change in HLA expression was functional by measuring activation levels and cytotoxic capacity of MART-1-specific CTLs following tumor cell treatment with MDs. Lastly, we administered MDs intra-peritoneally in 4T1-bearing Balb/c mice to sensitize 4T1 tumors to combination treatment with anti-PD-1 ICI.ResultsOur results to date show that in vitro treatment with MDs can upregulate surface HLA, albeit not uniformly across all tumor types, with breast and myeloid tumor cells showing the largest increase across the cell lines tested (figure 1). The MD-dependent HLA increase subsequently boosted CTL recognition of tumor cells without increasing background reactivity. The increased CTL degranulation correlated to the tumor cells’ increased surface HLA expression and was consistent whether the antigen was endogenous (5% increase, p<0.0001, figure 2A) or added exogenously (15%–30% increase, p<0.01 and p<0.0001 figure 2B). In combination with anti-PD-1 in vivo, MD treatment significantly abrogated tumor growth when compared to anti-PD-1 combined with the vehicle control (p<0.0001, figure 3A) and tumors harvested from MD-treated mice expressed higher levels of MHC Class I compared to the vehicle control cohort (p<0.05, figure 3B). Additionally, splenocytes from MD-treated mice showed increased recognition of 4T1 tumor cells when re-challenged in vitro (10% increase in CD8+41BB+ cells, p<0.0001, figure 3C).Abstract 835 Figure 1Class I surface expression after MD treatment. (A) breast (B) colon (C) melanoma and (D) myeloid human cancer cell lines were incubated with 5 (light bars) or 10 (dark bars) mg/mL MD#1, MD#2, and 10 mg/mL respective vehicle control (empty bars). (E) and (F) were treated with 10 mg/mL (dark bars) MD#1, MD#2, or respective vehicle controls (empty bars). After 48 hours, HLA Class I (A-D), H-2kb (E), and H-2kd (F) surface expression was measured by flow cytometry. Experiments repeated at least in duplicate. Statistical analysis by 2-way ANOVA, *p<0.05, **p<0.01, ***p<0.001, ****p<0.0001.Abstract 835 Figure 2Antigen-specific CTL activation. Tumor cells were pre-treated for 48 hours with 10 mg/mL vehicle or MD, then washed and co-cultured for 5 hours with MART-1 specific CTL. A) primary HLA-A2+ melanoma cells that are negative (Mel12) or positive (Mel13) for the MART-1 antigen, and B) Thp1 loaded or not with MART-1 peptide. CD8+CD107a+ cells measured by flow cytometry. Experiments repeated in triplicate, statistical analysis by two-way ANOVA.Abstract 835 Figure 3In vivo treatment with MD. Fifteen 6-week-old Balb/c mice were subcutaneously inoculated with 1.5 × 1054T1 tumor cells and divided into 3 treatment groups on day 3 based on equivalent tumor size. Mice were treated with 250 µg microbial derivatives (MD#1) or vehicle control (vehicle #1) in combination with anti-PD-1 (200 µg; clone 29F.1A12) starting on day 3 and continued every other day for a total of 4 injections (black arrows). (A) Tumor measurements were taken every other day using a caliper and volume calculated using the formula: tumor volume = (length x width2) ÷ 2 (B) 2 × 105 splenocytes were co-cultured 1:1 with 4T1 tumor cells in vitro and T cell activation (percent CD8+41BB+) was measured by flow cytometry. Experiment repeated in duplicate, statistical analysis by 2-way ANOVA (*p<0.05, **p<0.01, ***p<0.001, ****p<0.0001).ConclusionsOur results thus far confirm that our proprietary MDs can increase HLA expression on tumor cells, and that this can lead to increased recognition by antigen-specific CTL both in vitro and in vivo. This suggests that MDs could be explored in combination with ICIs to enhance clinical anti-cancer immune responses.


2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Chao Hu ◽  
Xiaobin Zhu ◽  
Taogen Zhang ◽  
Zhouming Deng ◽  
Yuanlong Xie ◽  
...  

Introduction. Osteosarcoma is a malignant tumor associated with high mortality rates due to the toxic side effects of current therapeutic methods. Tanshinone IIA can inhibit cell proliferation and promote apoptosis in vitro, but the exact mechanism is still unknown. The aims of this study are to explore the antiosteosarcoma effect of tanshinone IIA via Src kinase and demonstrate the mechanism of this effect. Materials and Methods. Osteosarcoma MG-63 and U2-OS cell lines were stable transfections with Src-shRNA. Then, the antiosteosarcoma effect of tanshinone IIA was tested in vitro. The protein expression levels of Src, p-Src, p-ERK1/2, and p-AKt were detected by Western blot and RT-PCR. CCK-8 assay and BrdU immunofluorescence assay were used to detect cell proliferation. Transwell assay, cell scratch assay, and flow cytometry were used to detect cell invasion, migration, and cell cycle. Tumor-bearing nude mice with osteosarcoma were constructed. The effect of tanshinone IIA was detected by tumor HE staining, tumor inhibition rate, incidence of lung metastasis, and X-ray. Results. The oncogene role of Src kinase in osteosarcoma is reflected in promoting cell proliferation, invasion, and migration and in inhibiting apoptosis. However, Src has different effects on cell proliferation, apoptosis, and cell cycle regulation among cell lines. At a cellular level, the antiosteosarcoma effect of tanshinone IIA is mediated by Src downstream of the MAPK/ERK and PI3K/AKt signaling pathways. At the animal level, tanshinone IIA played a role in resisting osteosarcoma formation by Src downstream of the MAPK/ERK and PI3K/AKt signaling pathways. Conclusion. Tanshinone IIA plays an antiosteosarcoma role in vitro and in vivo and inhibits the progression of osteosarcoma mediated by Src downstream of the MAPK/ERK and PI3K/AKt signaling pathways.


2005 ◽  
Vol 66 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Giulio Lelio Palmisano ◽  
Elisabetta Contardi ◽  
Anna Morabito ◽  
Vittoria Gargaglione ◽  
Giovanni Battista Ferrara ◽  
...  

2019 ◽  
Vol 21 (Supplement_6) ◽  
pp. vi120-vi120
Author(s):  
Konstantina Kapolou ◽  
Lena Katharina Freudenmann ◽  
Ekaterina Friebel ◽  
Leon Bichmann ◽  
Burkhard Becher ◽  
...  

Abstract We provide a comprehensive analysis of the antigenic landscape of glioblastoma using a multi-omics approach including ligandome mapping of the Human Leukocyte Antigen (HLA) ligandome, next generation sequencing (NGS) as well as an in-depth characterization of tumor-infiltrating lymphocytes (TIL) using mass cytometry and ultra-deep sequencing of the T-cell receptor (TCR). Tumor-exclusive HLA class I and class II ligands (immune precipitation and LC-MS/MS) of 24 isocitrate dehydrogenase 1 wild type glioblastoma samples and 10 autologous primary glioblastoma cell lines were defined in comparison to an HLA ligandome normal tissue reference database (n > 418). We found 11,496 glioblastoma exclusive HLA class I ligands (2,064 shared with cell lines; 3,754 on ≥ 2 glioblastoma samples). On the source protein level, 239 glioblastoma exclusive proteins were identified; among them 54 were also found in cell lines. For HLA class II ligands the analysis revealed 11,870 glioblastoma exclusive peptides (444 shared with cell lines; 3,420 on ≥ 2 glioblastoma samples) and 278 glioblastoma exclusive proteins; among which 18 were present also in cell lines. Moreover, whole-exome sequencing and whole RNA sequencing of 13 tumor samples was performed with the aim to predict neoantigens. On average 5,662 somatic missense effects were identified per patient (min: 4,258; max: 7,479). Candidate peptides are grouped into (i) in silico predicted neoepitopes, (ii) tumor-exclusivity on HLA, (iii) gene expression (e.g. cancer testis antigens). Top-ranking candidates from each group will be tested with regards to their immunogenicity in an autologous setting (TIL, peripheral blood mononuclear cells, patient derived tumor cells). Finally, the peptide and immunogenicity data is correlated with the immune phenotype of the TIL compartment as well as the TCR repertoire of the sample.


1998 ◽  
Vol 51 (6) ◽  
pp. 623-636 ◽  
Author(s):  
L.A. Koopman ◽  
A. Mulder ◽  
W.E. Corver ◽  
J.D.H. Anholts ◽  
M.J. Giphart ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document