Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Computer Assisted Early Detection of Liver Metastases From fMRI Maps

ABSTRACT: The purpose of this protocol is to develop a detailed MRI technique and haemodynamic maps enabling early detection of colorectal metastases in the liver.

DISEASE(S): Metastatic Colorectal Cancer,Colon Cancer,Colorectal Neoplasms

PROVIDER: 2037102 | ecrin-mdr-crc |

REPOSITORIES: ECRIN MDR

ACCESS DATA

Json Xml

Similar Datasets

Preclinical Models for Neuroblastoma: Establishing a Baseline for Treatment

Project description:Here we characterize and optimize both systems to increase their utility for preclinical studies. We show that TH-MYCN mice develop tumors in the paraspinal ganglia, but not in the adrenal, with cellular and gene expression patterns similar to human NB. In addition, we present a new ultrasound guided, non-invasive orthotopic xenograft method. This injection technique is rapid, provides accurate targeting of the injected cells and leads to efficient engraftment. We also demonstrate that tumors can be detected, monitored and quantified prior to visualization using ultrasound, MRI and bioluminescence. Finally we develop and test a “standard of care” chemotherapy regimen. This protocol, which is based on current treatments for neuroblastoma, provides a baseline for comparison of new therapeutic agents. A total of 17 samples are provided reprsenting TH-MYCN tumors derived from mice

2011-03-17 | E-GEOD-27516 | biostudies-arrayexpress

Preclinical Models for Neuroblastoma: Establishing a Baseline for Treatment

2011-03-17 | GSE27516 | GEO

Genome-wide PBMCs Profiling Reveals Early Detection of Immunothrombotic Dysregulation in COVID-19 based on Blood Routine Test: A Multi-Center Retrospective Study of 1219 Patients

Project description:The present study aimed to develop algorithms for early identification of patients who are at risk of being involved in abnormal immunothrombosis, enabling prompt interventions and averted progression of disease.

2021-10-06 | GSE167930 | GEO

Dual detection of chromatin accessibility and DNA methylation using ATAC-Me

Project description:We provide a detailed protocol for the generation of ATAC-Me libraries in a variety of cell types including H9 ESCs. We also display anticipated results that may be generated from application of the protocol to different model systems.

2021-03-02 | GSE166267 | GEO

Establishment of Transposase-assisted Low-input m6A Sequencing Technique

Project description:As the most abundant and best-characterized internal mRNA modification, N6-methyladenosine (m6A) emerges to play a critical regulatory role in wide range of physiological and pathological processes, including gametogenesis, neuronal development, obesity and tumorigenesis. Methylated RNA immunoprecipitation coupled with next-generation sequencing (MeRIP-seq) facilitates transcriptome-wide m6A profiling, also is the most widely used technique to understand the biological significance of m6A. However, it typically requires over 100 μg of total RNA or 107 cells as input materials, hampering its application in limited samples. Here, we develop tMeRIP-seq, a transposase assisted MeRIP-seq method to achieve m6A profiling using ultra-low amount of input RNA. By marrying Tn5 tagmentation to m6A-specific immunoprecipitation, tMeRIP-seq largely improves the efficiency of library construction and reduces the input materials to as little as 60 ng total RNA or 103 cells. We apply this method on a small droplet of human blood and recapitulate the m6A profile previously reported using conventional protocol. We find tMeRIP-seq is a convenient and powerful method to examine m6A in ultra-low input material, potentially providing m6A as a new layer of bio-marker for liquid biopsy.

2021-09-07 | GSE167307 | GEO

Single-cell copy number varation detection

Project description:Detection of genomic rearrangements from a single cell instead of a population of cells is an emerging research technique with important applications in the study of human fertility, constitutional chromosomal disorders, and tumor progression. Here, we develop a method to improve the detection of single-cell genome-wide copy number variation.

2011-08-24 | GSE27892 | GEO

CRISPR-Assisted Detection of RNA-Protein Interactions in Living Cells

Project description:Delineating the protein network associated with long non-coding RNAs (lncRNAs) is fundamental to understanding the functional mechanisms of lncRNAs. Current methods to identify lncRNA binding proteins either rely on crosslinking mediated complex co-precipitation or require extensive molecular engineering, leading to drawbacks such as loss of cellular context and low capture efficiency, and limiting their broad application. We develop a CRISPR-Assisted RNA-Protein Interaction Detection method (CARPID), which leverages CRISPR/CasRx-based RNA targeting and proximity labeling to identify binding proteins of specific lncRNA in the native cellular context. Applied to the nuclear lncRNA XIST, CARPID captured a list of known interacting proteins and multiple previously uncharacterized binding proteins. We generalize CARPID to explore binders of lncRNA DANCR and MALAT1, revealing its wide applicability in identifying RNA binding proteins.

2020-06-21 | GSE137556 | GEO

Aneurysm growth evaluation and detection: a computer-assisted follow-up MRA analysis

Project description: Not available

| S-EPMC11343880 | biostudies-literature

Single-cell copy number varation detection: blastomeres

2011-08-10 | GSE31219 | GEO

Pancreatic Cancer Early Detection Program

Project description:Early detection testing is recommended for individuals at elevated risk for the development of Pancreatic Cancer. This Protocol will define sufficiently elevated risk as either equal to or greater than five times the general population risk, or five times the average risk (1.5%) of developing pancreatic cancer by age 70; that is a 7.5% lifetime risk. Our inclusion criteria has a strong focus on the risk for pancreatic cancer imparted by the presence of hereditary cancer genes, as well as by family history. Enrolled subjects will undergo Endoscopic Ultrasound (EUS) alternating with Magnetic Resonance Imaging (MRI), every six to 12 months, for up to 5 years.

| 2171800 | ecrin-mdr-crc

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