Experimental high-throughput technologies for cancer research

2012 ◽  
pp. 83-134
Keyword(s):  
Cancer Research ◽  
High Throughput

scholarly journals Organoid Models for Cancer Research

2019 ◽  
Vol 3 (1) ◽  
pp. 223-234 ◽  
Author(s):  
Hans Clevers ◽  
David A. Tuveson
Keyword(s):  
Cancer Research ◽  
Tumor Microenvironment ◽  
Personalized Medicine ◽  
High Throughput ◽  
Stromal Cells ◽  
Transcriptome Sequencing ◽  
Cancer Biology ◽  
Three Dimensional ◽  
Model Systems ◽  
Liver Cancers

Organoid cultures have emerged as powerful model systems accelerating discoveries in cellular and cancer biology. These three-dimensional cultures are amenable to diverse techniques, including high-throughput genome and transcriptome sequencing, as well as genetic and biochemical perturbation, making these models well suited to answer a variety of questions. Recently, organoids have been generated from diverse human cancers, including breast, colon, pancreas, prostate, bladder, and liver cancers, and studies involving these models are expanding our knowledge of the etiology and characteristics of these malignancies. Co-cultures of cancer organoids with non-neoplastic stromal cells enable investigation of the tumor microenvironment. In addition, recent studies have established that organoids have a place in personalized medicine approaches. Here, we describe the application of organoid technology to cancer discovery and treatment.

Detection of breast cancer-related antigens through cDNA phage-displayed protein microarray

2010 ◽  
Vol 391 (7) ◽  
Author(s):  
Qun Bi ◽  
Taochao Tan ◽  
Xi Xiang ◽  
Aiping Lu ◽  
Shenggeng Zhu
Keyword(s):  
Breast Cancer ◽  
Cancer Research ◽  
High Throughput ◽  
Breast Tumor ◽  
Protein Microarray ◽  
Molecular Profiling ◽  
Multifactorial Disease ◽  
Cdna Sequences ◽  
Profiling Techniques ◽  
Related Proteins

AbstractHigh-throughput molecular profiling techniques are helpful in the diagnosis of multifactorial disease. In this study, a cDNA-phage-displayed protein microarray using phage particles spotted directly onto it as sensors was used to detect related antigens in breast tumor sera. cDNA sequences from 17 positive clones were determined, which included some sequences encoding known breast cancer-related antigens and proteins related to other diseases, as well as proteins with unknown functions. Our results not only provide some useful information for breast cancer research, but also suggest that the strategy used here would be efficient to search for disease-related proteins and other functional target proteins.

scholarly journals The motivations and methodology for high-throughput PET imaging of small animals in cancer research

2012 ◽  
Vol 39 (9) ◽  
pp. 1497-1509 ◽  
Author(s):  
Nicolas Aide ◽  
Eric P. Visser ◽  
Stéphanie Lheureux ◽  
Natacha Heutte ◽  
Istvan Szanda ◽  
...  
Keyword(s):  
Cancer Research ◽  
High Throughput ◽  
Pet Imaging ◽  
Small Animals

scholarly journals ACE: a probabilistic model for characterizing gene-level essentiality in CRISPR screens

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Elizabeth R. Hutton ◽  
Christopher R. Vakoc ◽  
Adam Siepel
Keyword(s):  
Cancer Research ◽  
High Throughput ◽  
Statistical Tests ◽  
Multiple Sources ◽  
Framework Analysis ◽  
Modeling Framework ◽  
Therapeutic Targeting ◽  
Gene Level ◽  
Sources Of Variation ◽  
Robust Framework

AbstractHigh-throughput CRISPR-Cas9 knockout screens are widely used to evaluate gene essentiality in cancer research. Here we introduce a probabilistic modeling framework, Analysis of CRISPR-based Essentiality (ACE), that accounts for multiple sources of variation in CRISPR-Cas9 screens and enables new statistical tests for essentiality. We show using simulations that ACE is effective at predicting both absolute and differential essentiality. When applied to publicly available data, ACE identifies known and novel candidates for genotype-specific essentiality, including RNA m6-A methyltransferases that exhibit enhanced essentiality in the presence of inactivating TP53 mutations. ACE provides a robust framework for identifying genes responsive to subtype-specific therapeutic targeting.

scholarly journals Exploration of disease - specific biomarkers in cancer research by integrating biological knowledge and high throughput data

2016 ◽  
Author(s):  
Στυλιανός Σφακιανάκης
Keyword(s):  
Cancer Research ◽  
High Throughput ◽  
Biological Knowledge ◽  
High Throughput Data ◽  
Disease Specific

Ο καρκίνος του μαστού είναι η πιο κοινή κακοήθεια στις γυναίκες σε όλο τον κόσμο και με το δεύτερο υψηλότερο ποσοστό θνησιμότητας. Σε ασθενείς με καρκίνο του μαστού, η κύρια αιτία θανάτου δεν είναι ο πρωτογενής όγκος, αλλά οι μεταστάσεις του σε απομακρυσμένα όργανα. Προκειμένου να δημιουργηθεί μια μετάσταση, τα καρκινικά κύτταρα εισέρχονται στην κυκλοφορία του αίματος, μεταφέρονται σε σημεία απομακρυσμένων οργάνων, όπου και πολλαπλασιάζονται (Κυκλοφορούντα Καρκινικά Κύτταρα, ΚΚΚ). Ο στόχος αυτής της εργασίας είναι η χρήση στατιστικών και υπολογιστικών τεχνικών για τον προσδιορισμό των διαφορών και οι ομοιοτήτων μεταξύ των δειγμάτων αίματος και ιστών ασθενών με καρκίνο και υγιών ατόμων με απώτερο σκοπό το μοριακό χαρακτηρισμό του μεταστατικού καρκίνου του μαστού και την παρουσία των ΚΚΚ. Μια μεγάλη συλλογή από δημόσια διαθέσιμα σύνολα δεδομένων γονιδιακής έκφρασης από μικροσυστοιχίες DNA έχει συγκεντρωθεί και τα δεδομένα αυτά έχουν προσεκτικά συγχωνευθεί προκειμένου να ξεπεραστούν τεχνικές και άλλες διαφοροποιήσεις. Ένας αριθμός στατιστικών συγκρίσεων μεταξύ των διαφόρων σημείων προέλευσης (αίμα ή ιστού) ή την κατάσταση ασθένειας (καρκινικοί ή υγιείς ασθενείς) των δειγμάτων μας οδήγησε σε ένα μικρό σύνολο 27 γονιδίων ("βιοδεικτών"). Οι βιολογικοί αυτοί δείκτες σχετίστηκαν προσεκτικά με πηγές της βιολογικής γνώσης, όπως τα βιολογικά δίκτυα, και υποβλήθηκαν σε νέες αλγοριθμικές διαδικασίες, έτσι ώστε να εντοπιστούν περαιτέρω γονίδια για την εποπτευόμενη (supervised) και μη επιβλεπόμενη (unsupervised) ταξινόμηση των ασθενών με καρκίνο του μαστού.

scholarly journals Recent Developments and Applications of Quantitative Proteomics Strategies for High-Throughput Biomolecular Analyses in Cancer Research

2021 ◽  
Author(s):  
Hannah N Miles ◽  
Daniel G Delafield ◽  
Lingjun Li
Keyword(s):  
Cancer Research ◽  
High Throughput ◽  
Quantitative Proteomics ◽  
Scientific Community ◽  
Medical Technology ◽  
Treatment Strategies ◽  
Recent Developments

Innovations in medical technology and dedicated focus from the scientific community have inspired numerous treatment strategies for benign and invasive cancers. While these improvements often lend themselves to more positive...

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