2018
DOI: 10.1016/j.jcmgh.2018.01.012
|View full text |Cite
|
Sign up to set email alerts
|

siRNA Library Screening Identifies a Druggable Immune-Signature Driving Esophageal Adenocarcinoma Cell Growth

Abstract: Background & AimsEffective therapeutic approaches are urgently required to tackle the alarmingly poor survival outcomes in esophageal adenocarcinoma (EAC) patients. EAC originates from within the intestinal-type metaplasia, Barrett’s esophagus, a condition arising on a background of gastroesophageal reflux disease and associated inflammation.MethodsThis study used a druggable genome small interfering RNA (siRNA) screening library of 6022 siRNAs in conjunction with bioinformatics platforms, genomic studies of E… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

1
32
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
6
1

Relationship

1
6

Authors

Journals

citations
Cited by 22 publications
(33 citation statements)
references
References 88 publications
1
32
0
Order By: Relevance
“…An siRNA screening protocol ( Figure 1 A ) using a cell line representing Barrett’s-associated high-grade dysplasia, CP-D BE-HGD cells, a druggable genome siRNA library consisting of 6033 siRNA pools and HCA of cytoskeletal proteins (F-actin, α-tubulin, and Hoechst) was used as previously described. 30 To reduce data dimensionality (8 images per well, 7000 wells, 4 channels), initial analysis and data transformations of screening images was performed using a singular analytic parameter measuring the difference between the overall area of the cell (F-actin) and that of tubulin staining (A minus T [A-T] parameter), thus reflecting extensions, contractions, or bundling associated with cellular transitions. Locally weighted polynomial regression normalization first was performed to account for cell shape changes as a consequence of alterations in cell density that occur as a result of gene loss-mediated cell death, growth inhibition, or regional variations ( Figure 1 B ).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…An siRNA screening protocol ( Figure 1 A ) using a cell line representing Barrett’s-associated high-grade dysplasia, CP-D BE-HGD cells, a druggable genome siRNA library consisting of 6033 siRNA pools and HCA of cytoskeletal proteins (F-actin, α-tubulin, and Hoechst) was used as previously described. 30 To reduce data dimensionality (8 images per well, 7000 wells, 4 channels), initial analysis and data transformations of screening images was performed using a singular analytic parameter measuring the difference between the overall area of the cell (F-actin) and that of tubulin staining (A minus T [A-T] parameter), thus reflecting extensions, contractions, or bundling associated with cellular transitions. Locally weighted polynomial regression normalization first was performed to account for cell shape changes as a consequence of alterations in cell density that occur as a result of gene loss-mediated cell death, growth inhibition, or regional variations ( Figure 1 B ).…”
Section: Resultsmentioning
confidence: 99%
“…As previously described, siRNA siGenome-SMARTpool (Dharmacon, GE Healthcare, Horizon Discovery, Waterbeach, UK) were used for initial screening followed by siON-TARGETplus build (Dharmacon) in all other validation experiments as an alternate verification strategy. 30 siRNAs were delivered to cells using Dharmafect transfection reagent (DF1-4; Dharmacon) in a reverse-transfection protocol with a cell culture media change at 24 hours after transfection. Validation of siRNA knockdown was achieved by Western blot and real-time reverse-transcription polymerase chain reaction for respective proteins (N = 3 biological replicates in 2 cell lines) and mRNAs (N = 3 technical and biological replicates) at 72–96 hours after transfection with siRNA.…”
Section: Methodsmentioning
confidence: 99%
“…As we move toward achieving our goal of finding better treatments for EAC patients, a better understanding of tumor biology is critical if we are to expose key cellular vulnerabilities that might be exploited for molecular targeting. The immune addiction of EACs shown by Duggan et al 2 is one such vulnerability, and we would be happy to help EACs kick their habit!…”
mentioning
confidence: 96%
“…In this issue of Cellular and Molecular Gastroenterology and Hepatology , Duggan et al 2 described their use of a loss-of-function screening approach to identify potential therapeutic targets for EAC. First, they studied the effects of a druggable genome small interfering RNA (siRNA) library (>6000 individual gene-targeting siRNA pools) on the viability of a human high-grade dysplastic Barrett’s epithelial cell line (CPD).…”
mentioning
confidence: 99%
See 1 more Smart Citation