Uncovering the hidden threat: single-organoid analysis reveals clinically relevant treatment-resistant and invasive subclones in pancreatic cancer
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ABSTRACT:
PROVIDER: PRJNA986451 | ENA |
REPOSITORIES: ENA
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Project description:Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal diseases, characterized by a treatment-resistant and invasive nature. In line with these inherent aggressive characteristics, only a subset of patients shows a clinical response to the standard of care therapies, thereby highlighting the need for a more personalized treatment approach. In this study, we comprehensively unraveled the intra-patient response heterogeneity and intrinsic aggressive nature of PDAC on bulk and single-organoid resolution. We leveraged a fully characterized PDAC organoid panel (N=8) and matched our artificial intelligence-driven, live-cell organoid image analysis with retrospective clinical patient response. In line with the clinical outcomes, we identified patient-specific sensitivities to the standard of care therapies (gemcitabine-paclitaxel and FOLFIRINOX) using a growth rate-based and normalized drug response metric. Moreover, the single-organoid analysis was able to detect resistant as well as invasive PDAC organoid clones, which was orchestrates on a patient, therapy, drug, concentration and time-specific level. Furthermore, our in vitro organoid analysis indicated a strong correlation with the matched patient progression-free survival (PFS) compared to the current, conventional drug response readouts. This work not only provides valuable insights on the response complexity in PDAC, but it also highlights the potential applications (extendable to other tumor types) and clinical translatability of our approach in drug discovery and the emerging era of personalized medicine.
2023-07-31 | GSE235548 | GEO
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Project description:In order to identify factors involved in TMZ-resistance, we engineered different TMZ-resistant glioblastoma cell lines. Wildtype cells were treated twice a week in duplicate with a clinically relevant concentration of TMZ (33 µM) for multiple weeks, until two individual resistant subclones were generated. Gene expression profiling was performed to identify differentially expressed genes in the resistant cells compared to their wildtype cells. three wildtype glioblastoma cell lines (U87, LNZ308, Hs683) and their resistant subclones, two of each wildtype, were analyzed The experiments were performed technically as dual channel but processed/normalized as single channel (i.e. two sample records per one raw data file). The raw data file for each sample is indicated in the sample description field but linked as Series supplementary file.
2014-01-01 | E-GEOD-53014 | biostudies-arrayexpress
Project description:In order to identify factors involved in TMZ-resistance, we engineered different TMZ-resistant glioblastoma cell lines. Wildtype cells were treated twice a week in duplicate with a clinically relevant concentration of TMZ (33 µM) for multiple weeks, until two individual resistant subclones were generated. Gene expression profiling was performed to identify differentially expressed genes in the resistant cells compared to their wildtype cells.
2014-01-01 | GSE53014 | GEO
Project description:Genetic heterogeneity though common in tumors has been rarely documented in cell lines. To examine how often B-lymphoma cell lines are comprised of subclones, we performed immunoglobulin (Ig) heavy chain hypermutation analysis. Revealing that subclones are not rare in B-cell lymphoma cell lines, 6/49 Ig hypermutated cell lines (12%) consisted of subclones with individual Ig mutations. Subclones were also identified in 2/284 leukemia/lymphoma cell lines exhibiting bimodal CD marker expression. We successfully isolated 10 subclones from four cell lines HG3, SU-DHL-5, TMD-8, U-2932). Whole exome sequencing was performed to molecularly characterize these subclones. We in detail describe the clonal structure of cell line HG3, derived from chronic lymphocytic leukemia. HG3 consists of three lineages each bearing clone-specific aberrations, gene expression and DNA methylation patterns. While donor patient leukemic cells were CD5+ , two of three HG3 subclones had independently lost this marker. CD5 on HG3 cells was regulated by epigenetic/transcriptional mechanisms rather than by alternative splicing as reported hitherto. In conclusion, we show that the presence of subclones in cell lines carrying individual mutations and characterized by sets of differentially expressed genes is not uncommon. We show also that these subclones can be useful isogenic models for regulatory and functional studies.
2016-09-30 | E-MTAB-4955 | biostudies-arrayexpress
Project description:Medium conditioned by LLC cells stimulates thermogenic gene expression when added onto primary adipocytes. We generated single cell colonies from parental LLC cells. Media conditioned by the subclones stimulated thermogenic gene expression in primary adipocytes at varying degrees. Subclones 2, 3, 6 and 28 produce significantly larger amount of thermogenic activity than the subclones 18, 19, 23 and 24. We compared gene expression profiles of these subclones to identify secreted factors enriched in the more thermogenic clones.
2014-07-13 | GSE57797 | GEO
Project description:U87MG is a glioblastoma cell line that shows substantial heterogeneity despite long-term passaging. We used microarrays to identify variations in gene expression that are associated with phenotypic differences among subclones derived from U87MG.
2015-02-12 | GSE54967 | GEO
Project description:Medium conditioned by LLC cells stimulates thermogenic gene expression when added onto primary adipocytes. We generated single cell colonies from parental LLC cells. Media conditioned by the subclones stimulated thermogenic gene expression in primary adipocytes at varying degrees. Subclones 2, 3, 6 and 28 produce significantly larger amount of thermogenic activity than the subclones 18, 19, 23 and 24. We compared gene expression profiles of these subclones to identify secreted factors enriched in the more thermogenic clones. LLC subclones were cultured under conditioned medium preparation conditiones and total RNA was extracted from biological replicates.
2014-07-13 | E-GEOD-57797 | biostudies-arrayexpress
Project description:Motivation: Identification of eQTL, the genetic loci that contribute to heritable variation in gene expression, can be obstructed by factors that produce variation in expression profiles if these factors are unmeasured or hidden from direct analysis. Methods: We have developed a method for Hidden Expression Factor analysis (HEFT) that identifies individual and pleiotropic effects of eQTL in the presence of hidden factors. The HEFT model simultaneously accounts for the effects of genotypes while learning hidden factors, where we make use of the complete likelihood of a unified multivariate regression and factor analysis model to derive a ridge estimator for combined factor learning and detection of eQTL. HEFT requires no pre-estimation of hidden factor effects, no iterative model selection, it provides p-values, and is extremely fast, requiring just a few hours to complete an eQTL analysis of thousands of expression variables when analyzing hundreds of thousands of SNPs on a standard 8 core 2.6G desktop. Results: By analyzing simulated data, we demonstrate that HEFT can correct for an unknown number of hidden factors and outperforms related hidden factor methods for eQTL analysis, where the improved performance is particularly evident in the detection of eQTL with multivariate effects. To demonstrate a real-world application, we applied HEFT to identify eQTL affecting gene expression in human lung tissue for a study that included presumptive hidden factors. The analysis identified a number of eQTL with direct relevance to lung disease that could not be found without a hidden factor analysis, including cis-eQTL for GTF2H1 and MTRR, genes that have been independently associated with lung cancer. We have developed HEFT, a fast multivariate method that detect eQTLs by analyzing thousands of traits simultaneously in the presence of hidden factors. HEFT employs a combined regression factor analysis approach to analyze the gene expression and genotype data sets, looking for univariate or multivariate eQTLs that regulate gene expression, while simultaneously controlling for both orthogonal or non-orthogonal hidden factors. We show by extensive simulation that HEFT outperforms competing methods, and by applying HEFT to a study that included presumptive hidden factors, we identified a number of eQTL with direct relevance to lung disease that could not be found without a hidden factor analysis. HEFT analysis results file (includes all results, not just top hits) linked below as supplementary file.
2014-01-07 | E-GEOD-40364 | biostudies-arrayexpress
Project description:Genetic heterogeneity though common in tumors has been rarely documented in cell lines. To examine how often B-lymphoma cell lines are comprised of subclones, we performed immunoglobulin (Ig) heavy chain hypermutation analysis. Revealing that subclones are not rare in B-cell lymphoma cell lines, 6/49 Ig hypermutated cell lines (12%) consisted of subclones with individual Ig mutations. Subclones were also identified in 2/284 leukemia/lymphoma cell lines exhibiting bimodal CD marker expression. We successfully isolated 10 subclones from four cell lines HG3, SU-DHL-5, TMD-8, U-2932). Whole exome sequencing was performed to molecularly characterize these subclones. We in detail describe the clonal structure of cell line HG3, derived from chronic lymphocytic leukemia. HG3 consists of three lineages each bearing clone-specific aberrations, gene expression and DNA methylation patterns. While donor patient leukemic cells were CD5+, two of three HG3 subclones had independently lost this marker. CD5 on HG3 cells was regulated by epigenetic/transcriptional mechanisms rather than by alternative splicing as reported hitherto. In conclusion, we show that the presence of subclones in cell lines carrying individual mutations and characterized by sets of differentially expressed genes is not uncommon. We show also that these subclones can be useful isogenic models for regulatory and functional studies.
2016-09-30 | E-MTAB-4956 | biostudies-arrayexpress