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325 results for “circulating tumor cells”
Isolation and expression profiling of circulating tumor cells in breast cancer patients part 3
GEO Series GSE45964. Homo sapiens. 45 samples. Type: Expression profiling by array.
Expression diversity between prostate cancer cell line PC3 and circulating tumor cell derived from PC3
GEO Series GSE106363. Homo sapiens. 6 samples. Type: Expression profiling by array.
Defining a molecular signature of breast cancer circulating tumor cells using an in vitro model
GEO Series GSE224841. Homo sapiens. 12 samples. Type: Expression profiling by array.
Epigenomic reprogramming of therapy-resistant circulating tumor cells in colon cancer
GEO Series GSE239549. Homo sapiens. 27 samples. Type: Methylation profiling by genome tiling array.
Single-nucleotide polymorphism array analysis reveals distinct chromosomal aberrations in breast cancer tumors according to the circulating tumor cells status
GEO Series GSE43149. Homo sapiens. 14 samples. Type: Genome variation profiling by SNP array.
Isolation and expression profiling of circulating tumor cells in breast cancer patients
GEO Series GSE45965. Homo sapiens. 67 samples. Type: Expression profiling by array.
unCTC: Unbiased characterisation of single circulating tumor cell transcriptomes II
GEO Series GSE210651. Homo sapiens. 96 samples. Type: Expression profiling by high throughput sequencing.
Growth Signaling Autonomy in Circulating Tumor Cells Aids Metastatic Seeding
GEO Series GSE215822. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Isolation and expression profiling of circulating tumor cells in breast cancer patients part 2
GEO Series GSE45963. Homo sapiens. 9 samples. Type: Expression profiling by array.
RNA-Seq of Single Lung Circulating Tumor Cells (CTCs) and primary Tumor Cells from an orthotopic lung xenograft model
GEO Series GSE74639. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing.
Isolation and expression profiling of circulating tumor cells in breast cancer patients part 1
GEO Series GSE45962. Homo sapiens. 13 samples. Type: Expression profiling by array.
Integrative Analysis and Machine Learning based Characterization of Single Circulating Tumor Cells
GEO Series GSE129474. Homo sapiens. 15 samples. Type: Expression profiling by high throughput sequencing.
The lipogenic regulator SREBF2 induces Transferrin in circulating melanoma cells and suppresses ferroptosis [CTC lines vs tumors and CCLE lines RNA-Seq]
GEO Series GSE157740. Homo sapiens. 21 samples. Type: Expression profiling by high throughput sequencing.
Identification of Six Potential Markers for the Detection of Circulating Canine Mammary Tumor Cells in the Peripheral Blood
GEO Series GSE25586. Canis lupus familiaris. 5 samples. Type: Expression profiling by array.
Tumor- and circulating-free DNA methylation identifies clinically relevant small cell lung cancer subtypes
GEO Series GSE241673. Homo sapiens. 67 samples. Type: Methylation profiling by high throughput sequencing.
Transposon DNA sequences facilitate the tissue-specific horizontal transfer of circulating tumor DNA between human cells
<p>The uploaded files are in the fasta format and are outputs from de novo assembly using the SGA algorithm (https://github.com/jts/sga). The description of the files are as below:</p> <table> <tbody> <tr> <td><strong>Filename</strong></td> <td><strong>description</strong></td> </tr> <tr> <td>772.final.fa</td> <td>Multiple Myeloma ctDNA</td> </tr> <tr> <td>54128-4M7.final.fa</td> <td>Pancreatic cancer cells coculture with multiple myeloma ctDNA</td> </tr> <tr> <td>54128-6MP.final.fa</td> <td>Multiple myeloma cells coculture with pancreatic cancer ctDNA</td> </tr> <tr> <td>MIA-Cells.final.fa</td> <td>Pancreatic cancer cells</td> </tr> <tr> <td>MIA-cells-with-P201812-2.final.fa</td> <td>Pancreatic cancer cells coculture with pancreatic cancer ctDNA</td> </tr> <tr> <td>MM1S-cells.final.fa</td> <td>Multiple Myeloma cells</td> </tr> <tr> <td>MM1S-cells-with-772-2.final.fa</td> <td>Mutiple myeloma cells coculture with Multiple myeloma ctDNA</td> </tr> <tr> <td>P201812-2.final.fa</td> <td>Pancreatic Cancer ctDNA</td> </tr> </tbody> </table>
The Establishment and Clinical Application of a Prediction Model of Lung Cancer Distant Metastasis Based on the Genomic Characteristics of Circulating Tumor Cells
ClinicalTrials.gov study NCT04568720. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
A Comprehensive Evaluation of Circulating Tumor DNA and Circulating Tumor Cells as a Predictive Marker in Lung Cancer
ClinicalTrials.gov study NCT04254497. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Circulating Tumor Cells in Operative Blood in Patients With Bladder Cancer
ClinicalTrials.gov study NCT02514408. IPD Sharing: Not stated. Countries: 0. Publications: 0.
The Value Of Circulating Tumor Cells In Patient With NSCLC In Postoperative Recurrence Monitoring
ClinicalTrials.gov study NCT02647164. IPD Sharing: Not stated. Countries: 0. Publications: 0.
ScienceDex guides
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.