Paraffin-Embedded Cell Line Microarray (PECLIMA): Development and Validation of a High-Throughput Method for Antigen Profiling of Cell Lines

Pathobiology ◽  
2005 ◽  
Vol 72 (5) ◽  
pp. 225-232 ◽  
Author(s):  
Berta Ferrer ◽  
Raquel Bermudo ◽  
Timothy Thomson ◽  
Iracema Nayach ◽  
Marta Soler ◽  
...  
Keyword(s):  
Cell Line ◽  
Cell Lines ◽  
High Throughput ◽  
High Throughput Method ◽  
Development And Validation

scholarly journals An Isogenic Cell Line Panel for Sequence-based Screening of Targeted Anti-cancer Drugs

2021 ◽  
Author(s):  
Ashley L Cook ◽  
Nicolas Wyhs ◽  
Surojit B Sur ◽  
Blair Ptak ◽  
Maria Popoli ◽  
...  
Keyword(s):  
Cell Line ◽  
Cell Lines ◽  
High Throughput ◽  
High Throughput Screening ◽  
Growth Inhibitor ◽  
Suppressor Gene ◽  
Loss Of Function ◽  
Cancer Pathways ◽  
Isogenic Cell Line ◽  
Cell Line Panel

We describe the creation and characterization of an isogenic cell line panel representing common cancer pathways, with multiple features optimized for high-throughput screening. More than 1,800 cell lines from three normal human cells were generated using CRISPR-technologies. Surprisingly, we discovered most of these lines did not result in complete gene inactivation, despite integration of sgRNA at the desired genomic site. However, a subset of the lines harbored true, biallelic disruptions of the targeted tumor suppressor gene, yielding a final panel of 100 well-characterize lines covering 19 pathways frequently subject to loss of function in cancers. This panel included genetic markers optimized for sequence-based ratiometric assays for drug-based screening assays. To illustrate the potential utility of this panel, we developed a multiplexed high-throughput screen that identified Wee1 inhibitor MK-1775 as a selective growth inhibitor of cells with inactivation of TP53. These cell lines and screening approach should prove useful for researchers studying a variety of cellular and biochemical phenomena.

scholarly journals High-throughput Sequencing for Species Authentication and Contamination Detection of 63 Cell Lines

2021 ◽  
Author(s):  
Oliver Lung ◽  
Rebecca Candlish ◽  
Michelle Nebroski ◽  
Peter Kruckiewicz ◽  
Cody Buchanan ◽  
...  
Keyword(s):  
Cell Line ◽  
Cell Lines ◽  
High Throughput ◽  
High Throughput Sequencing ◽  
Classical Swine Fever ◽  
Virus Genome ◽  
Cox1 Gene ◽  
Species Identity ◽  
Cell Line Authentication ◽  
Dna And Rna

Abstract Cell lines are widely used in research and for diagnostic tests and are often shared between laboratories. Lack of cell line authentication can result in the use of contaminated or misidentified cell lines, potentially affecting the results from research and diagnostic activities. Cell line authentication and contamination detection based on metagenomic high-throughput sequencing (HTS) was tested on DNA and RNA from 63 cell lines available at the Canadian Food Inspection Agency’s National Centre for Foreign Animal Disease. Through sequence comparison of the cytochrome c oxidase subunit 1 (COX1) gene, the species identity of 53 cell lines was confirmed, and eight cell lines were found to show a greater pairwise nucleotide identity in the COX1 sequence of a different species within the same expected genus. Two cell lines, LFBK-αvβ6 and SCP-HS, were determined to be composed of cells from a different species and genus. Mycoplasma contamination was not detected in any cell lines. However, several expected and unexpected viral sequences were detected, including part of the classical swine fever virus genome in the IB-RS-2 Clone D10 cell line. Metagenomics-based HTS is a useful laboratory QA tool for cell line authentication and contamination detection that should be conducted regularly.

scholarly journals High-Throughput RNA Sequencing-Based Virome Analysis of 50 Lymphoma Cell Lines from the Cancer Cell Line Encyclopedia Project

2014 ◽  
Vol 89 (1) ◽  
pp. 713-729 ◽  
Author(s):  
Subing Cao ◽  
Michael J. Strong ◽  
Xia Wang ◽  
Walter N. Moss ◽  
Monica Concha ◽  
...  
Keyword(s):  
Cell Line ◽  
Cell Lines ◽  
High Throughput ◽  
Murine Leukemia Virus ◽  
Leukemia Virus ◽  
Cancer Cell Line ◽  
Lymphoma Cell ◽  
Viral Gene ◽  
Barr Virus ◽  
Murine Leukemia

ABSTRACTUsing high-throughput RNA sequencing data from 50 common lymphoma cell culture models from the Cancer Cell Line Encyclopedia project, we performed an unbiased global interrogation for the presence of a panel of 740 viruses and strains known to infect human and other mammalian cells. This led to the findings of previously identified infections by Epstein-Barr virus (EBV), Kaposi's sarcoma herpesvirus (KSHV), and human T-lymphotropic virus type 1 (HTLV-1). In addition, we also found a previously unreported infection of one cell line (DEL) with a murine leukemia virus. High expression of murine leukemia virus (MuLV) transcripts was observed in DEL cells, and we identified four transcriptionally active integration sites, one being in the TNFRSF6B gene. We also found low levels of MuLV reads in a number of other cell lines and provided evidence suggesting cross-contamination during sequencing. Analysis of HTLV-1 integrations in two cell lines, HuT 102 and MJ, identified 14 and 66 transcriptionally active integration sites with potentially activating integrations in immune regulatory genes, including interleukin-15 (IL-15), IL-6ST, STAT5B, HIVEP1, and IL-9R. Although KSHV and EBV do not typically integrate into the genome, we investigated a previously identified integration of EBV into the BACH2 locus in Raji cells. This analysis identified a BACH2 disruption mechanism involving splice donor sequestration. Through viral gene expression analysis, we detected expression of stable intronic RNAs from the EBV BamHI W repeats that may be part of long transcripts spanning the repeat region. We also observed transcripts at the EBV vIL-10 locus exclusively in the Hodgkin's lymphoma cell line, Hs 611.T, the expression of which were uncoupled from other lytic genes. Assessment of the KSHV viral transcriptome in BCP-1 cells showed expression of the viral immune regulators, K2/vIL-6, K4/vIL-8-like vCCL1, and K5/E2-ubiquitin ligase 1 that was significantly higher than expression of the latency-associated nuclear antigen. Together, this investigation sheds light into the virus composition across these lymphoma model systems and provides insights into common viral mechanistic principles.IMPORTANCEViruses cause cancer in humans. In lymphomas the Epstein-Barr virus (EBV), Kaposi's sarcoma herpesvirus (KSHV) and human T-lymphotropic virus type 1 are major contributors to oncogenesis. We assessed virus-host interactions using a high throughput sequencing method that facilitates the discovery of new virus-host associations and the investigation into how the viruses alter their host environment. We found a previously unknown murine leukemia virus infection in one cell line. We identified cellular genes, including cytokine regulators, that are disrupted by virus integration, and we determined mechanisms through which virus integration causes deregulation of cellular gene expression. Investigation into the KSHV transcriptome in the BCP-1 cell line revealed high-level expression of immune signaling genes. EBV transcriptome analysis showed expression of vIL-10 transcripts in a Hodgkin's lymphoma that was uncoupled from lytic genes. These findings illustrate unique mechanisms of viral gene regulation and to the importance of virus-mediated host immune signaling in lymphomas.

High-throughput sialylation measurement using lectins on an Octet platform for clone screening

2016 ◽  
Vol 8 (39) ◽  
pp. 7193-7198 ◽  
Author(s):  
Kanvasri N. Jonnalagadda ◽  
Lam Raga A. Markely ◽  
Bing Guan ◽  
Christina Alves ◽  
Shashi Prajapati
Keyword(s):  
Cell Line ◽  
High Throughput ◽  
Sialic Acids ◽  
Cell Line Development ◽  
Support Cell ◽  
High Throughput Method

A high-throughput method to quantify sialic acids was developed on a ForteBio Octet QK384 platform to support cell-line development.

scholarly journals Development of Novel Cell Lines for High-Throughput Screening to Detect Estrogen-Related Receptor Alpha Modulators

2017 ◽  
Vol 22 (6) ◽  
pp. 720-731 ◽  
Author(s):  
Christina T. Teng ◽  
Jui-Hua Hsieh ◽  
Jinghua Zhao ◽  
Ruili Huang ◽  
Menghang Xia ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cell Line ◽  
Cell Lines ◽  
High Throughput ◽  
High Throughput Screening ◽  
Environmental Chemicals ◽  
Screening Tools ◽  
Receptor Alpha ◽  
Pharmacologically Active ◽  
Estrogen Related Receptor

Estrogen-related receptor alpha (ERRα), the first orphan nuclear receptor discovered, is crucial for the control of cellular energy metabolism. ERRα and its coactivator, peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC-1α), are required for rapid energy production in response to environmental challenges. They have been implicated in the etiology of metabolic disorders such as type 2 diabetes and metabolic syndrome. ERRα also plays a role in the pathogenesis of breast cancer. Identification of compounds that modulate ERRα signaling may elucidate environmental factors associated with these diseases. Therefore, we developed stable cell lines containing an intact ERRα signaling pathway, with and without the coactivator PGC-1α, to use as high-throughput screening tools to detect ERRα modulators. The lentiviral PGC-1α expression constructs and ERRα multiple hormone response element (MHRE) reporters were introduced into HEK293T cells that express endogenous ERRα. A cell line expressing the reporter alone was designated “ERR.” A second cell line expressing both reporter and PGC-1α was named “PGC/ERR.” Initial screenings of the Library of Pharmacologically Active Compounds (LOPAC) identified 33 ERR and 22 PGC/ERR agonists, and 54 ERR and 15 PGC/ERR antagonists. Several potent ERRα agonists were dietary plant compounds (e.g., genistein). In conclusion, these cell lines are suitable for high-throughput screens to identify environmental chemicals affecting metabolic pathways and breast cancer progression.

scholarly journals An image-based flow cytometric approach to the assessment of the nucleus-to-cytoplasm ratio

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0253439
Author(s):  
Joseph A. Sebastian ◽  
Michael J. Moore ◽  
Elizabeth S. L. Berndl ◽  
Michael C. Kolios
Keyword(s):  
Cell Line ◽  
Cell Lines ◽  
High Throughput ◽  
Malignant Cell ◽  
Cell Diameter ◽  
Average Cell ◽  
Malignant Cell Line ◽  
Assessment Techniques ◽  
High Throughput Detection ◽  
Ht 29

The nucleus-to-cytoplasm ratio (N:C) can be used as one metric in histology for grading certain types of tumor malignancy. Current N:C assessment techniques are time-consuming and low throughput. Thus, in high-throughput clinical contexts, there is a need for a technique that can assess cell malignancy rapidly. In this study, we assess the N:C ratio of four different malignant cell lines (OCI-AML-5—blood cancer, CAKI-2—kidney cancer, HT-29—colon cancer, SK-BR-3—breast cancer) and a non-malignant cell line (MCF-10A –breast epithelium) using an imaging flow cytometer (IFC). Cells were stained with the DRAQ-5 nuclear dye to stain the cell nucleus. An Amnis ImageStreamX® IFC acquired brightfield/fluorescence images of cells and their nuclei, respectively. Masking and gating techniques were used to obtain the cell and nucleus diameters for 5284 OCI-AML-5 cells, 1096 CAKI-2 cells, 6302 HT-29 cells, 3159 SK-BR-3 cells, and 1109 MCF-10A cells. The N:C ratio was calculated as the ratio of the nucleus diameter to the total cell diameter. The average cell and nucleus diameters from IFC were 12.3 ± 1.2 μm and 9.0 ± 1.1 μm for OCI-AML5 cells, 24.5 ± 2.6 μm and 15.6 ± 2.1 μm for CAKI-2 cells, 16.2 ± 1.8 μm and 11.2 ± 1.3 μm for HT-29 cells, 18.0 ± 3.7 μm and 12.5 ± 2.1 μm for SK-BR-3 cells, and 19.4 ± 2.2 μm and 10.1 ± 1.8 μm for MCF-10A cells. Here we show a general N:C ratio of ~0.6–0.7 across varying malignant cell lines and a N:C ratio of ~0.5 for a non-malignant cell line. This study demonstrates the use of IFC to assess the N:C ratio of cancerous and non-cancerous cells, and the promise of its use in clinically relevant high-throughput detection scenarios to supplement current workflows used for cancer cell grading.

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