Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Single-cell Transcriptomics reveals multi-step adaptations to endocrine therapy

ABSTRACT: Resistant tumours are thought to arise from the action of Darwinian selection on intratumoral genetic heterogeneity. However, clonal selection is incompatible with the late recurrence often characterising luminal breast cancers treated with endocrine therapy (ET), suggesting a more complex interplay between genetic and non-genetic factors. In the present study, we dissect the contributions of clonal genetic diversity and transcriptional plasticity during the early and late phases of ET at single-cell resolution. Using single-cell RNA-sequencing and imaging we disentangle the transcriptional variability of plastic cells and define a rare sub-population of pre-adapted (PA) cells which undergoes further transcriptomic reprogramming and copy number changes to acquire full resistance. PA cells show reduced oestrogen receptor α activity but increased features of quiescence and migration. We find evidence for sub-clonal expression of this PA signature in primary tumours and for dominant expression in clustered circulating tumour cells. We propose a multi-step model for ET resistance development and advocate the use of stage-specific biomarkers.

ORGANISM(S): Homo sapiens

PROVIDER: GSE122743 | GEO | 2019/07/17

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Clonal Selection Drives Genetic Divergence of Metastatic Medulloblastoma

Project description:This SuperSeries is composed of the following subset Series: GSE34280: Clonal Selection Drives Genetic Divergence of Metastatic Medulloblastoma [Affymetrix SNP6 Arrays] GSE34355: Clonal Selection Drives Genetic Divergence of Metastatic Medulloblastoma [Illumina Infinium HumanMethylation27 Beadchip v1.2] Refer to individual Series

2011-12-13 | E-GEOD-34356 | biostudies-arrayexpress

RNA-seq after KD or OE of circRNAs or linear gene

Project description:The cancer transcriptome is remarkably complex, including low-abundance transcripts, many not polyadenylated. To fully characterize the transcriptome of localized prostate cancer, we performed ultra-deep total RNA-Seq on 144 tumours with rich clinical annotation. This revealed a linear transcriptomic subtype associated with the aggressive intraductal carcinoma sub-histology and a fusion profile that differentiates localized from metastatic disease. Analysis of back-splicing events showed widespread RNA circularization, with the average tumour expressing 7,232 circular RNAs (circRNAs). The degree of circRNA production was correlated to disease progression in multiple patient cohorts. Loss of function screening identified 11.3% of highly-abundant circRNAs as essential for cell proliferation; for ~90% of these, their parental linear transcripts were not essential for cell proliferation. Individual circRNAs can have distinct functions, with circCSNK1G3 promoting cell growth by interacting with miR-181. These data advocate for adoption of ultra-deep RNA-Seq without poly-A selection to interrogate both the linear and circular transcriptome.

2019-02-07 | GSE123940 | GEO

Project description:Clonal Selection Drives Genetic Divergence of Metastatic Medulloblastoma

| PRJEB2816 | ENA

Project description:Clonal Selection Drives Genetic Divergence of Metastatic Medulloblastoma

| PRJNA151451 | ENA

Intra and inter-tumoral heterogeneity in syndromic neuroendocrine tumors

Project description:Hereditary endocrine neoplasias, including phaeochromocytoma/paraganglioma (PPGL) and medullary thyroid cancer (MTC), are caused by autosomal dominant mutations in a multitude of familial cancer genes. A common feature of these diseases is the presentation of multiple primary tumours or multifocal disease representing independent tumour clones that have arisen from the same initiating genetic lesion but have undergone independent clonal evolution. Such tumours provide a unique opportunity to discover common co-operative changes required for tumorigenesis while controlling for the genetic background of the individual. We performed an in-depth genomic analysis of synchronous and metachronous tumours from five patients harbouring germline mutations in the genes SDHB, RET and MAX. Using whole exome sequencing and high-density SNP-arrays we analyzed between two and four primary tumours from each patient. Furthermore, we applied multi-regional sampling to assess intra-tumoral heterogeneity and clonal evolution in two cases involving PPGL and MTC, respectively. Heterogeneous patterns of genomic change existed between synchronous or metachronous tumours with evidence of branching evolution. We observed striking examples of evolutionary convergence involving the same rare somatic copy-number events in synchronous primary PPGL. Convergent events also occurred during clonal evolution of metastatic MTC. These observations suggest that genetic or epigenetic changes acquired early within precursor cells, or pre-existing within the genetic background of the individual, create contingencies that determine the evolutionary trajectory of the tumour.

2017-02-02 | GSE94378 | GEO

Array CGH in dendritic cell tumours

Project description:This series represents the data set described in the publication “Genetic and Immunohistochemical Analysis of Localized Extranodal and Nodal Dendritic Cell Tumours – An Outlook for Individualized Therapies in Rare Tumours” by Ullmann et al. (submitted). Keywords: array CGH

2007-03-15 | GSE4838 | GEO

Genetic variegation of clonal architecture and stem cells in leukaemia

2010-12-16 | GSE24412 | GEO

Greene2019 - Differentiate Spontaneous and Induced Evolution to Drug Resistance During Cancer Treatment

Project description:This model is built by COPASI 4.24(Build 197), based on paper: Mathematical Approach to Differentiate Spontaneous and Induced Evolution to Drug Resistance During Cancer Treatment. Author: James M. Greene, Jana L. Gevertz, Eduardo D. sontag Abstract: PURPOSE:Drug resistance is a major impediment to the success of cancer treatment. Resistance is typically thought to arise from random genetic mutations, after which mutated cells expand via Darwinian selection. However, recent experimental evidence suggests that progression to drug resistance need not occur randomly, but instead may be induced by the treatment itself via either genetic changes or epigenetic alterations. This relatively novel notion of resistance complicates the already challenging task of designing effective treatment protocols. MATERIALS AND METHODS:To better understand resistance, we have developed a mathematical modeling framework that incorporates both spontaneous and drug-induced resistance. RESULTS:Our model demonstrates that the ability of a drug to induce resistance can result in qualitatively different responses to the same drug dose and delivery schedule. We have also proven that the induction parameter in our model is theoretically identifiable and propose an in vitro protocol that could be used to determine a treatment's propensity to induce resistance.

2024-09-02 | BIOMD0000000825 | BioModels

Genetic variegation of clonal architecture and stem cells in leukaemia

Project description:Little is known of the genetic architecture of cancer at the subclonal and single cell level or in the stem-like cells responsible for cancer clone maintenance and propagation. We have examined this issue in ALL in which ETV6-RUNX1 gene fuson is an early or initiating genetic lesion followed by a modest number of driver copy number alterations. By multiplexing FISH probes for these mutations, up to eight genetic abnormalities can be detected in single cells, a genetic signature of sub-clones identified and a composite picture of sub-clonal architecture and putative ancestral trees assembled. Sub-clones in ALL have variegated genetics and complex, non-linear or branching evolutionary histories. CNA are independently and recurrently acquired in sub-clones of individual patients, and in no preferential order. Clonal architecture is dynamic and changes in the lead up to a diagnosis and in relapse. Leukaemic stem cells, assayed by transplantation in NOD/SCID IL2Rgamma deficient mice, are also genetically variegated, mirroring sub-clonal patterns. These findings have significant implications for the cancer stem cell concept, for interpretation of cancer genome data and for therapeutic targetting in cancer. Mononuclear cells were isolated at diagnosis of ALL for patient #3 and #7. Transplantation of 2 000 - 2 000 000 unsorted leukaemia cells was performed by intra-tibial injection into 7 - 14 week old NOD/SCID IL2Rgamma deficient mice. Mice were sacrificed when peripheral blood engraftment was >2%. An equivalent of 2 000 - 200 000 CD45 cells were used for serial transplantation. DNA was extracted from mononuclear cells at initial diagnosis and after second transplantation. Copy number analysis of Affymetrix 500K SNP arrays was performed in CNAG 3.0 for patients #3 and #7 at initial diagnosis and after second transplantation. Reference files were 9 samples from leukemia in remission.

2010-12-16 | E-GEOD-24412 | biostudies-arrayexpress

ARRA - NHLBI Lung Cohorts Sequencing Project

Project description:The major goal of this project is to apply second generation resequencing technology to identify disease causing variants influencing pediatric and adult lung diseases in a collection of two longitudinal population cohorts of cystic fibrosis patients that have been well characterized for a comprehensive set of clinical traits. In Phase I, exome sequencing was performed on 43 cystic fibrosis patients with early Pa infection and 48 cystic fibrosis patients with late Pa infection to identify variants influencing the time to onset of Pa infection. In Phase II, additional exomes were added to the study, to reach a total of 91 individuals with early Pa infection and 96 with late Pa infection. The majority of the 340 subjects of Phase II do not have a Pa infection phenotype, but instead have a pulmonary function phenotype (121 severe vs. 124 mild impairment) as determined by the survival corrected Kulich FEV percentile of Corey et al. A small minority have intermediate phenotypes and/or show severe decline in lung function during childhood.

| phs000254 | dbGaP

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data