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High-throughput identification of protein functional similarities using a gene-expression-based siRNA screen.

ABSTRACT: A gene expression-based siRNA screen was used to evaluate functional similarity between genetic perturbations to identify functionally similar proteins. A siRNA library (siGenome library, Dharmacon) consisting of multiple siRNAs per gene that have been pooled in to one well per gene was arrayed in a 384-well format and used to individually target 14,335 proteins for depletion in HCT116 colon cancer cells. For each protein depletion, the gene expression of eight genes was quantified using the multiplexed Affymetrix Quantigene 2.0 assay in technical triplicate. As a proof of concept, six genes (BNIP3, NDRG1, ALDOC, LOXL2, ACSL5, BNIP3L) whose expression pattern reliably reflect the disruption of the molecular scaffold KSR1 were measured upon each protein depletion. The remaining two genes (PPIB and HPRT) are housekeeping genes used for normalization. The gene expression signatures from this screen can be used to estimate the functional similarity between any two proteins and successfully identified functional relationships for specific proteins such as KSR1 and more generalized processes, such as autophagy.

SUBMITTER: Neilsen BK

PROVIDER: S-EPMC6972743 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

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High-throughput identification of protein functional similarities using a gene-expression-based siRNA screen.

Neilsen Beth K BK Kelly David L DL Chakraborty Binita B Kim Hyun Seok HS White Michael A MA Lewis Robert E RE Fisher Kurt W KW

Scientific data 20200121 1

A gene expression-based siRNA screen was used to evaluate functional similarity between genetic perturbations to identify functionally similar proteins. A siRNA library (siGenome library, Dharmacon) consisting of multiple siRNAs per gene that have been pooled in to one well per gene was arrayed in a 384-well format and used to individually target 14,335 proteins for depletion in HCT116 colon cancer cells. For each protein depletion, the gene expression of eight genes was quantified using the mul ...[more]

PMID: 31964871

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Project description:Resistance to tamoxifen in breast cancer patients is a serious therapeutic problem and major efforts are underway to understand underlying mechanisms. Resistance can be either intrinsic or acquired. We derived a series of subcloned MCF7 cell lines that were either highly sensitive or naturally resistant to tamoxifen and studied the factors that lead to drug resistance. Gene-expression studies revealed a signature of 67 genes that differentially respond to tamoxifen in sensitive vs. resistant subclones, which also predicts disease-free survival in tamoxifen-treated patients. High-throughput cell-based screens, in which >500 human kinases were independently ectopically expressed, identified 31 kinases that conferred drug resistance on sensitive cells. One of these, HSPB8, was also in the expression signature and, by itself, predicted poor clinical outcome in one cohort of patients. Further studies revealed that HSPB8 protected MCF7 cells from tamoxifen and blocked autophagy. Moreover, silencing HSBP8 induced autophagy and caused cell death. Tamoxifen itself induced autophagy in sensitive cells but not in resistant ones, and tamoxifen-resistant cells were sensitive to the induction of autophagy by other drugs. These results may point to an important role for autophagy in the sensitivity to tamoxifen. For defined estrogen culture experiments, sensitive (MCF7-B7TamS) and resistant (MCF7-G11TamR) subclones, were plated in 10-cm dish (Nunc) in DMEM supplemented with 5% FBS. The day after plating, the media was changed to steroid depleted media (phenol red-free DMEM) supplemented with 5% charcoal-dextran treated FBS and grown for 2 d. On day 3, cells were rinsed three times with PBS and treated in triplicate using one of four different conditions: (i) estrogen-depleted medium (control); (ii) estrogen (E) at 10 to 9 M; (iii) 4-OHT at 1 uM; and (iv) E plus 4-OHT, both drugs at the same concentrations as in (ii) and (iii). After 4 h, RNA was isolated and processed for gene-expression profiling according to the Affymetrix protocol (Human Genome U133 plus 2.0 Array) at the Microarray Core Facility at the Dana Farber Cancer Institute. The gene-expressionCEL files were normalized using dChip, using the invariant method and PM-MM difference methods for background subtraction. We identified genes that are differentially regulated by tamoxifen using the following criteria: (i) Genes that responded to estrogen in both MCF7-B7TamS andMCF7-G11TamR were identified if cells under tamoxifen treatment were more than 1.1-fold either up- or down-regulated [90% confidence interval (CI)] relative to its corresponding control cells; (ii) Genes unresponsive to tamoxifen in resistant cells: genes that showed more than 1.1-fold up- or down-regulation (90% CI) in MCF7-G11TamR but not in MCF7-B7TamS when comparing cells treated with both estradiol and tamoxifen with those treated with drug only.

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High-throughput identification of protein functional similarities using a gene-expression-based siRNA screen.

Publications

High-throughput identification of protein functional similarities using a gene-expression-based siRNA screen.

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