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Articles by Simona Pellecchia
Single cell lineage tracing reveals clonal dynamics of anti-EGFR therapy resistance in triple negative breast cancer - Genome Medicine
HEK293T, MDAMB468, HCC1806 and HDQP1 were obtained from ATCC biobank. HEK293T and HDQP1 cells were cultured with DMEM supplemented with 10% foetal bovine serum (FBS), 1% L-glutamine, 1% penicillin/streptomycin (Euroclone, Milan, Italy), whereas MDAMB468 and HCC1806 cells were cultured with RPMI supplemented with 10% foetal bovine serum (FBS), 1% L-glutamine, 1% penicillin/streptomycin (Euroclone). Cells were kept at 37 °C under 5% CO2 atmosphere.
Predicting drug response from single-cell expression profiles of tumours
Abstract Drug response prediction at the single cell level is an emerging field of research that aims to improve the efficacy and precision of cancer treatments. Here, we introduce DREEP (Drug Response Estimation from single-cell Expression Profiles), a computational method that leverages publicly available pharmacogenomic screens and functional enrichment analysis to predict single cell drug sensitivity from transcriptomic data.
Cancers | Free Full-Text | Correction: Sepe et al. The Long Non-Coding RNA RP5-1024C24.1 and Its Associated-Gene MPPED2 Are Down-Regulated in Human Thyroid Neoplasias and Act as Tumour Suppressors. Cancers 2018, 10, 146
Open AccessCorrection by Romina Sepe 1,2, Simona Pellecchia 1,2, Pierre Serra 3, Daniela D’Angelo 1,2, Antonella Federico 1,2, Maddalena Raia 2,4, Ricardo Cortez Cardoso Penha 1,2,5, Myriam Decaussin-Petrucci 3, Luigi Del Vecchio 2,4, Alfredo Fusco 1,2,* and Pierlorenzo Pallante 1,2,* 1 Institute of Experimental Endocrinology and Oncology (IEOS) “G.
Predicting drug response from single-cell expression profiles of tumours
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Single cell lineage tracing reveals subclonal dynamics of anti-EGFR therapy resistance in triple negative breast cancer.
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