NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE202650 Query DataSets for GSE202650
Status Public on May 24, 2022
Title High throughput, label-free isolation of circulating tumor cell clusters in meshed microwells
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Extremely rare circulating tumor cell (CTC) clusters are both increasingly appreciated as highly metastatic precursors and virtually unexplored. Technologies are primarily designed to detect single CTCs and often fail to account for the fragility of clusters or to leverage cluster-specific markers for higher sensitivity. Meanwhile, the few technologies targeting CTC clusters lack scalability. Here, we introduce the Cluster-Wells, which combines the speed and practicality of membrane filtration with the sensitive and deterministic screening afforded by microfluidic chips. The >100,000 microwells in the Cluster-Wells physically arrest CTC clusters in unprocessed whole blood, gently isolating virtually all clusters at a throughput of >25 mL/h, and allow viable clusters to be retrieved from the device. Using the Cluster-Wells, we isolated CTC clusters ranging from 2–100+ cells from prostate and ovarian cancer patients and analyzed a subset using RNA sequencing. Routine isolation of CTC clusters will democratize research on their utility in managing cancer.
 
Overall design Gene expression profiling of circulating tumor cell clusters isolated from two metastatic prostate cancer patients, LNCaP and PC-3 prostate tumor cell lines, and white blood cells of heatlhy donors.
 
Contributor(s) Boya M, Ozkaya-Ahmadov T, Swain BE, Chu C, Asmare N, Civelekoglu O, Liu R, Lee D, Tobia S, Biliya S, McDonald LD, Nazha B, Kucuk O, Sanda MG, Benigno BB, Moreno CS, Bilen MA, McDonald JF, Sarioglu AF
Citation(s) 35697674
Submission date May 10, 2022
Last update date Jun 27, 2022
Contact name A. Fatih Sarioglu
E-mail(s) sarioglu@gatech.edu
Organization name Georgia Institute of Technology
Department Electrical and Computer Engineering
Lab Sarioglu Lab
Street address 315 Ferst Dr. NW
City Atlanta
State/province GA
ZIP/Postal code 30332
Country USA
 
Platforms (2)
GPL18573 Illumina NextSeq 500 (Homo sapiens)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
Samples (12)
GSM6127780 Patient.1.Cluster1
GSM6127781 Patient.1.Cluster2
GSM6127782 Patient.2.Cluster1
Relations
BioProject PRJNA836891

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE202650_RAW.tar 23.7 Mb (http)(custom) TAR (of TAB, TXT)
GSE202650_readcounts_all.csv.gz 983.9 Kb (ftp)(http) CSV
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record
Processed data provided as supplementary file

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap