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303 results for “LNCaP”
Quantitative phase microscopy timelapse dataset of PNT1A, DU-145 and LNCaP cells with annotated caspase 3,7-dependent and independent cell death
<p>Time-lapse dataset of prostatic cell lines (DU-145, PNT1A, LNCaP) exposed to cell death-inducing compounds (staurosporine, doxorubicin) and black phosphorus. The time-lapse dataset is annotated as follows: (1) cell masks and cell numbers, (2) by cell death type and timepoint of death in the attached xlsx file. This dataset is supplementary to the article:</p> <p>Vicar, T., Raudenska, M., Gumulec, J. <em>et al.</em> The Quantitative-Phase Dynamics of Apoptosis and Lytic Cell Death. <em>Sci Rep</em> <strong>10, </strong>1566 (2020). <a href="https://doi.org/10.1038/s41598-020-58474-w">https://doi.org/10.1038/s41598-020-58474-w</a></p> <p>Correlative fluorescence microscopy is in a separate dataset <a href="https://doi.org/10.5281/zenodo.4531900">10.5281/zenodo.4531900</a></p> <p>Code is available at <a href="https://github.com/tomasvicar/CellDeathDetect">https://github.com/tomasvicar/CellDeathDetect</a></p> <p><strong>Methods</strong></p> <p><em>Cell culture and cultured cell conditions</em><br> LNCaP cell line was established from a lymph node metastase of the hormone-refractory patient and contains a mutation in the AR gene. This mutation creates a promiscuous AR that can bind to different types of steroids. LNCaP cells are AR-positive, PSA-positive, PTEN-negative and harbor wild-type p53 {Skjoth, 2006 #150; Mitchell, 2000 #149}. PNT1A is immortalized non-tumorigenic epithelial cell line. PNT1A cells harbour wild-type p53. However, SV40 induced T-antigen expression inhibits the activity of p53. This cell line had lost the expression of androgen receptor (AR) and prostate-specific antigen (PSA) (Raudenska, 2019). DU-145 cell line is derived from the metastatic site in the brain and contains P223L and V274F mutations in p53. This cell line is PSA and AR-negative and androgen independent (Chappell, 2012). All cell lines used in this study were purchased from HPA Culture Collections (Salisbury, UK). and were cultured in RPMI-1640 medium with 10 % FBS. The medium was supplemented with antibiotics (penicillin 100 U/ml and streptomycin 0.1 mg/ml). Cells were maintained at 37°C in a humidified (60%) incubator with 5% CO2 (Sanyo, Japan).</p> <p><em>Correlative time-lapse quantitative phase-fluorescence imaging</em></p> <p>QPI and fluorescence imaging were performed by using multimodal holographic microscope Q-PHASE (TESCAN, Brno, Czech Republic). To determine the amount of caspase-3/7 product accumulation, cells were loaded with 2 µM CellEventTM Caspase-3/7 Green Detection Reagent (Life Technologies, Carlsbad, CA, USA) according to the manufacturer’s protocol and visualized using FITC 488 nm filter. To detect the cells with a loss of plasma membrane integrity, cells were stained with 1 ug/ml propidium iodide (Sigma Aldrich Co., St. Louis, MO, USA) and visualized using TRITC 542 nm filter. Nuclear morphology and chromatin condensation were analyzed using Hoechst 33342 nuclear staining (ENZO, Lausen, Switzerland) and visualized using DAPI 461 nm filter. Cells were cultivated in Flow chambers μ-Slide I Lauer Family (Ibidi, Martinsried, Germany). To maintain standard cultivation conditions (37°C, humidified air (60%) with 5% CO2) during time-lapse experiments, cells were placed in the gas chamber H201 - for Mad City Labs Z100/Z500 piezo Z-stages (Okolab, Ottaviano NA, Italy). To image enough cells in one field of view, lens Nikon Plan 10/0.30 were chosen. For each cell line and each treatment, seven fields of view were observed with the frame rate 3 mins/frame for 24 or 48 h respectively. Holograms were captured by CCD camera (XIMEA MR4021 MC-VELETA), fluorescence images were captured using ANDOR Zyla 5.5 sCMOS camera. Complete quantitative phase image reconstruction and image processing were performed in Q-PHASE control software. Cell dry mass values were derived according to {Prescher, 2005 #177} and {Park, 2018 #178} from the phase (eq. (1)), where m is cell dry mass density (in pg/μm2), φ is detected phase (in rad), λ is wavelength in μm (0.65 μm in Q-PHASE), and α is specific refraction increment (≈0.18 μm3/pg). All values in the formula except the Phi are constant. Phi (Phase) is the value measured directly by the microscope. Integrated phase shift through a cell is proportional to its dry mass, which enables studying changes in cell mass distribution (Park et al., 2018).</p> <p><strong>File description</strong></p> <p>There are three archives included for particular cell lines:</p> <ul> <li>QPI_annotated_timelapse_DU145.zip for DU-145 cells</li> <li>QPI_annotated_timelapse_PNT1A.zip for PNT1A cells</li> <li>QPI_annotated_timelapse_LNCaP.zip for LNCaP cells</li> </ul> <p>The archive includes of following files:</p> <ul> <li><strong>Tiff with time-lapse</strong> quantitative phase image (32-bit files 600x600px with values in pg/um2 with framerate 1 frame/3minutes with 1.59 px/um), named <em>QPI_cellline_treatment_FOV.tiff</em></li> <li><strong>Tiff file with segmentation</strong> mask for particular cells named <em>mask_cellline_treatment_FOV.tiff</em></li> <li><strong>xlsx table</strong> with cell death type (1 for apoptosis, 2 for necrosis, 3 for ambiguous/surviving) and time of death for representative cell number from mask, named <em>labels_cellline_treatment_FOV.xlsx</em></li> </ul> <p>file naming has following conventions:</p> <ul> <li>cell names: DU145, PNT1A, LNCaP for particular cell line</li> <li>treatments: st, bp, do for staurosporine, black phosphorus and doxorubicin</li> <li>fields of view: 1 to 7</li> </ul> <p>e.g. QPI_DU145_st_4.tif, mask_DU145_st_4.tif, labels_DU145_st_4.xlsx</p> <p>Note that correlative fluorescence images are available at <a href="https://doi.org/10.5281/zenodo.4531900">10.5281/zenodo.4531900</a></p>
Filtered and annotated SNV and indel variants in the PC3 and LNCaP human prostate cancer cell lines
<p>150bp paired-end reads (insert size 350bp) were obtained using the Illumina HiSeqX sequencer. Samtools v1.3.1 mpileup and bcftools were used to interrogate indexed BAM files, from whole-genome reads aligned to human reference genome GRCh38 build 82, and generate a VCF (Variant Call Format) file of single nucleotide variants (SNVs) and short indel variants. Variants private, or unique to a particular cell line, or shared by both were next identified. Variants (likely to be common germline variants) present in HapMap, 1000 genomes phase 3 (2,504 human genomes), and the National Heart Lung and Blood Institute’s Exome Sequencing Project (ESP) (bundled variant data file available at https://goo.gl/mEogvD) were excluded. Variant files (VCF) were filtered using SnpSift with the following parameters: 'QUAL \textgreater= 200 \&\& DP \textgreater= 30', where QUAL denotes minimum variance confidence and DP total depth threshold. Filtered variants were annotated using SnpEff v4.3g. Please see https://github.com/sciseim/PCaWGS for associated scripts.</p> <p> </p>
de novo genome assembly of the LNCaP human prostate cancer cell line
<p>Whole-genome sequencing reads from the LNCaP human prostate cancer cell line were used to generate a <em>de novo </em>assembly with SGA v0.10.15. Please see https://github.com/sciseim/PCaWGS for associated scripts. Library preparation was performed using a TruSeq Nano DNA kit (Illumina) with a target insert size of 350bp. Paired-end libraries (150bp) were sequenced using a HiSeqX sequencer (Illumina).</p>
Bacterial RNA Virus MS2 Exposure Increases the Expression of Cancer Progression genes in LNCaP Prostate Cancer Cell Line
<p><strong>Supplementary Figure 1. </strong>Network of protein-protein interactions in LNCaP cells according to their interaction with T4 and M13 phages (DNA phages). The network of protein-protein interactions in Homo Sapiens was constructed using the string protein-protein interaction network v 11.5 [35] with the overexpressed genes (highest confidence level setting) in LNCaP cells. Interactions of overexpressed protein genes were mapped with the highest confidence cut-off of (0.7-0.9). In the resulting protein association network, proteins are presented as nodes connected by lines with varying thicknesses representing the highest confidence level of (0.7-0.9). It is observed that there is strong experimentally determining evidence for the link between SRC and other overexpressed genes, including MAPKs and other integrins by adding more nodes until the highest confidence level of (0.7-0.9) among all overexpressed genes was obtained based on known interactions.</p> <p> </p> <p><strong>Supplementary Figure 2. </strong>Enrichr web server-based gene set enrichment analysis for overexpressed cancer progression genes in LNCaP cells treated with (A) MS2 and (B) T4 and M13 phages; which predicts caveolin-mediated endocytosis for MS2 bacterial virus (with a p-value of 0.000001399). Similarly, an integrin-mediated signaling pathway (with a p-value of 0.000007588) based on overexpression of most integrin genes and caveolin-mediated endocytosis (with a p-value of 0.000001799) were predicted for both T4 and M13 phages based on GO Biological process 2021.</p>
ChIP-seq from LNCAP (ENCSR673WZL)
GEO Series GSE105648. Homo sapiens. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Bisulphite sequencing of native LNCaP and PrEC DNA [methylation array]
GEO Series GSE34340. Homo sapiens. 6 samples. Type: Methylation profiling by genome tiling array.
Gene expression of LNCaP cells grown in 2D cultures and polyethlene glycol-based hydrogels with the presence of synthetic androgen, R1881
GEO Series GSE33610. Homo sapiens. 12 samples. Type: Expression profiling by array.
Increased translation driven by a non-canonical EZH2 cistrome creates a synthetic vulnerability in enzalutamide-resistant prostate cancer (RNA-Seq LNCaP)
GEO Series GSE266950. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
RNA transcriptome analyses in shcontrol, shMETTL3, shMETTL3-resistant METTL3 wildtype and catalytically dead mutant LNCaP cells.
GEO Series GSE147884. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
Altered expression of long noncoding RNAs in LNCaP castration resistant prostate cancer cell lines
GEO Series GSE93929. Homo sapiens. 3 samples. Type: Non-coding RNA profiling by array.
ChIP-seq from LNCAP (ENCSR315NAC)
GEO Series GSE105500. Homo sapiens. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Gene expression profile of ETV1 knockdown in LNCaP prostate cancer cells
GEO Series GSE46329. Homo sapiens. 9 samples. Type: Expression profiling by array.
Expression profiling by RNA-seq of LNCaP cells expressing wild-type androgen receptor (AR-WT), AR-V7 splice variant or mutant AR-Q641X
GEO Series GSE158557. Homo sapiens. 24 samples. Type: Expression profiling by high throughput sequencing.
Siomycin A treatment in prostate cancer cell lines PC3 and LNCaP
GEO Series GSE36531. Homo sapiens. 24 samples. Type: Expression profiling by array.
ChIA-PET from LNCAP (ENCSR113OIR)
GEO Series GSE127018. Homo sapiens. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Other.
Genome-wide maps of H3K4me2/3 in prostate cancer cell line LNCaP
GEO Series GSE20042. Homo sapiens. 5 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Gene expression of LNCaP cells grown in polyethlene glycol-based hydrogels alone (monocultures) and grown with human osteoblasts as tissue engineered bone (co-culture) with the presence of synthetic a
GEO Series GSE44143. Homo sapiens. 24 samples. Type: Expression profiling by array.
MeDIP-Chip of PrEC, LnCAP, and PC3 cells treated with vehicle control, sulforaphane, or 3,3’-diindolylmethane
GEO Series GSE47017. Homo sapiens. 27 samples. Type: Methylation profiling by genome tiling array.
Multiomic assessments of LNCaP and derived cell strains reveal determinants of prostate cancer pathobiology
GEO Series GSE288857. Homo sapiens. 126 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing; Other.
Multiomic assessments of LNCaP and derived cell strains reveal determinants of prostate cancer pathobiology [scRNA-seq]
GEO Series GSE288878. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing.
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OpenNeuro
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