Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJDB14478 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| DRR412424_1.fastq.gz | Fastqsanger.gz | |||
| DRR412424_2.fastq.gz | Fastqsanger.gz | |||
| DRR412425_1.fastq.gz | Fastqsanger.gz | |||
| DRR412425_2.fastq.gz | Fastqsanger.gz | |||
| DRR412426_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 12 |
Similar Datasets
Project description:We studied the transcriptomic profile of actinic keratosis (AK) skin compared to matched samples from uninvolved skin (US) before and after treatment with ingenol mebutate gel. We found that AK has a distinct mRNA profile that separates it from uninvolved skin. In particular, numerous genes associated with epidermal development and keratinocyte differentiation, such as LCE3D, SPRR1A, PI3 and several genes in the keratin family were highly expressed in AK0 skin, but not in US0, in line with the hyperkeratosis characteristic for AK. Topical application of ingenol mebutate had a profound effect on the gene expression profile, and interestingly, many more genes were affected in US than in AK. Enrichment analysis revealed that the main responses to ingenol mebutate treatment of both US and AK were inflammatory response, response to wounding, and wound healing. 30 skin biopsies were analysed; 5 from each of 6 AK patients. Before initiation of treatment, baseline biopsies were taken from one AK lesion (AK0) and from uninvolved skin (US0). A third biopsy was taken after day 1 application of ingenol mebutate from one AK lesion (AK1). The fourth and fifth biopsies were obtained one day after the second topical application with ingenol mebutate from an AK lesion (AK2) and from uninvolved skin (US2), respectively.
2016-03-31 | E-GEOD-63107 | biostudies-arrayexpress
Project description:Actinic keratosis is a common skin disease that may progress to invasive squamous cell carcinoma. Ingenol mebutate has demonstrated efficacy in field treatment of actinic keratosis. However, molecular mechanisms on ingenol mebutate response are not yet fully understood.
2020-05-18 | GSE142108 | GEO
Project description:We studied the transcriptomic profile of actinic keratosis (AK) skin compared to matched samples from uninvolved skin (US) before and after treatment with ingenol mebutate gel. We found that AK has a distinct mRNA profile that separates it from uninvolved skin. In particular, numerous genes associated with epidermal development and keratinocyte differentiation, such as LCE3D, SPRR1A, PI3 and several genes in the keratin family were highly expressed in AK0 skin, but not in US0, in line with the hyperkeratosis characteristic for AK. Topical application of ingenol mebutate had a profound effect on the gene expression profile, and interestingly, many more genes were affected in US than in AK. Enrichment analysis revealed that the main responses to ingenol mebutate treatment of both US and AK were inflammatory response, response to wounding, and wound healing.
2016-03-31 | GSE63107 | GEO
Project description:Rescue of T cell exhaustion by ingenol mebutate
| PRJNA540148 | ENA
Project description:Differential gene expression after ingenol mebutate (IM) treatment
| PRJNA267521 | ENA
Project description:This study aimed to elucidate the mechanism underlying the action of the dual PARP/Tankyrase inhibitor JPI-547 through RNA-sequencing. Focusing on human pancreatic cancer cell lines with either homologous recombination repair deficiency or Wnt-addiction, the investigation sought to uncover critical insights into the compound's mode of action.
2025-02-28 | GSE254997 | GEO
Project description:Expression profiling of 70 Pancreatic Ductal Adenocarcinoma (PDAC) samples was performed on Agilent 44K expression arrays for cancer gene discovery. Additionally, matched aCGH on Agilent 244K arrays was performed. These two datasets were integrated in order to identify driver mutations leading to pancreatic cancer. Promising candidates were interrogated further using functional studies. 68 tumor samples (48 xenografts, 20 cell lines). 2 color arrays hybridized against a common reference pool of RNA from 11 cancer cell lines
2011-12-15 | E-GEOD-26088 | biostudies-arrayexpress
Project description:Zhu2015 - Combined gemcitabine and birinapant
in pancreatic cancer cells - basic PD model
Mathematical model to illustrate the
effectiveness of combination chemotherapy involving gemcitabine and
birinapant against pancreatic cancer.
This model is described in the article:
Mechanism-based mathematical
modeling of combined gemcitabine and birinapant in pancreatic
cancer cells.
Zhu X, Straubinger RM, Jusko
WJ.
J Pharmacokinet Pharmacodyn 2015 Oct;
42(5): 477-496
Abstract:
Combination chemotherapy is standard treatment for
pancreatic cancer. However, current drugs lack efficacy for
most patients, and selection and evaluation of new combination
regimens is empirical and time-consuming. The efficacy of
gemcitabine, a standard-of-care agent, combined with
birinapant, a pro-apoptotic antagonist of Inhibitor of
Apoptosis Proteins (IAPs), was investigated in pancreatic
cancer cells. PANC-1 cells were treated with vehicle,
gemcitabine (6, 10, 20 nM), birinapant (50, 200, 500 nM), and
combinations of the two drugs. Temporal changes in cell
numbers, cell cycle distribution, and apoptosis were measured.
A basic pharmacodynamic (PD) model based on cell numbers, and a
mechanism-based PD model integrating all measurements, were
developed. The basic PD model indicated that synergistic
effects occurred in both cell proliferation and death
processes. The mechanism-based model captured key features of
drug action: temporary cell cycle arrest in S phase induced by
gemcitabine alone, apoptosis induced by birinapant alone, and
prolonged cell cycle arrest and enhanced apoptosis induced by
the combination. A drug interaction term Ψ was employed in
the models to signify interactions of the combination when data
were limited. When more experimental information was utilized,
Ψ values approaching 1 indicated that specific mechanisms
of interactions were captured better. PD modeling identified
the potential benefit of combining gemcitabine and birinapant,
and characterized the key interaction pathways. An optimal
treatment schedule of pretreatment with gemcitabine for 24-48 h
was suggested based on model predictions and was verified
experimentally. This approach provides a generalizable modeling
platform for exploring combinations of cytostatic and cytotoxic
agents in cancer cell culture studies.
This model is hosted on
BioModels Database
and identified by:
BIOMD0000000668.
To cite BioModels Database, please use:
Chelliah V et al. BioModels: ten-year
anniversary. Nucl. Acids Res. 2015, 43(Database
issue):D542-8.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2024-09-02 | BIOMD0000000668 | BioModels
Project description:Zhu2015 - combined gemcitabine and birinapant
in pancreatic cancer cells - mechanistic PD model
Mechanistic mathematical model to
illustrate the effectiveness of combination chemotherapy involving
gemcitabine and birinapant against pancreatic cancer.
This model is described in the article:
Mechanism-based mathematical
modeling of combined gemcitabine and birinapant in pancreatic
cancer cells.
Zhu X, Straubinger RM, Jusko
WJ.
J Pharmacokinet Pharmacodyn 2015 Oct;
42(5): 477-496
Abstract:
Combination chemotherapy is standard treatment for
pancreatic cancer. However, current drugs lack efficacy for
most patients, and selection and evaluation of new combination
regimens is empirical and time-consuming. The efficacy of
gemcitabine, a standard-of-care agent, combined with
birinapant, a pro-apoptotic antagonist of Inhibitor of
Apoptosis Proteins (IAPs), was investigated in pancreatic
cancer cells. PANC-1 cells were treated with vehicle,
gemcitabine (6, 10, 20 nM), birinapant (50, 200, 500 nM), and
combinations of the two drugs. Temporal changes in cell
numbers, cell cycle distribution, and apoptosis were measured.
A basic pharmacodynamic (PD) model based on cell numbers, and a
mechanism-based PD model integrating all measurements, were
developed. The basic PD model indicated that synergistic
effects occurred in both cell proliferation and death
processes. The mechanism-based model captured key features of
drug action: temporary cell cycle arrest in S phase induced by
gemcitabine alone, apoptosis induced by birinapant alone, and
prolonged cell cycle arrest and enhanced apoptosis induced by
the combination. A drug interaction term Ψ was employed in
the models to signify interactions of the combination when data
were limited. When more experimental information was utilized,
Ψ values approaching 1 indicated that specific mechanisms
of interactions were captured better. PD modeling identified
the potential benefit of combining gemcitabine and birinapant,
and characterized the key interaction pathways. An optimal
treatment schedule of pretreatment with gemcitabine for 24-48 h
was suggested based on model predictions and was verified
experimentally. This approach provides a generalizable modeling
platform for exploring combinations of cytostatic and cytotoxic
agents in cancer cell culture studies.
This model is hosted on
BioModels Database
and identified by:
BIOMD0000000669.
To cite BioModels Database, please use:
Chelliah V et al. BioModels: ten-year
anniversary. Nucl. Acids Res. 2015, 43(Database
issue):D542-8.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2024-09-02 | BIOMD0000000669 | BioModels
Project description:Identification of differentially expressed genes in actinic keratosis samples treated with ingenol mebutate gel
| PRJNA595920 | ENA