Zhang: Looking at two stories today - high-throughput genetic analysis, and exploring bacterial diversity #AACR17
11:25am April 5th 2017 via Hootsuite
Feng Zhang (MIT MA) Genetic screening using CRISPR-Cas systems, and beyond #AACR17
11:24am April 5th 2017 via Hootsuite
Bhatia: Onto inhalable protease nanosesor diagnostics, pooled urine, utility of multiple marker appraoch. #AACR17
8:54am April 5th 2017 via Hootsuite
Bhatia: Uses MS/MS for readout, different heavy aa's. For lung ca - look to TCGA, determine top 20 extracellular endoproteases #AACR17
8:51am April 5th 2017 via Hootsuite
Bhatia: About a 14-fold increase in-vivo. Getting better specificity - multiplexing the analytes. Look for multiple reporters #AACR17
8:50am April 5th 2017 via Hootsuite
Bhatia: 3rd gen, increase rate of peptide cutting, in press Nature BME, optimized linker, targeting ligand to accumulate to tumor #AACR17
8:48am April 5th 2017 via Hootsuite
Bhatia: 2nd-gen PEG-based, 8-arms (reporters ligated) per particle, for 1cm mass in urine, found at 1h 80x cp to blood CEA #AACR17
8:47am April 5th 2017 via Hootsuite
Bhatia: Urine detector, shows data w/hi cells, 0.94 AUC. For lo CEA cells, not detectable in blood, but day 13 found in urine #AACR17
8:45am April 5th 2017 via Hootsuite
Bhatia: #AACR17 Can find MMP9 in extracellular space '14 ref https://t.co/dQGmH6LNIg CEA-excreted cell lines (hi/lo) to test their system
8:44am April 5th 2017 via Hootsuite
Bhatia: shows whole-mouse staining where fluor is concentrated (bladder lights up). A urinary reporter, MMP9 and CRC next #AACR17
8:42am April 5th 2017 via Hootsuite
Bhatia: 1st gen material '13 Nature biotech https://t.co/gjlPQjUflK Fluor quenching; thrombin-sens peptide #AACR17
8:41am April 5th 2017 via Hootsuite
Bhatia: 100-1000 peptides can be cleaved/h. 2nm peptides filtered by kidney (5nm filter organ). Concentration in urine #AACR17
8:40am April 5th 2017 via Hootsuite
Bhatia: Targeting 566 endoproteases. Role throughout growth '07 rev https://t.co/jyBP7TSTyb Shows cool video of nanomaterials 100nm #AACR17
8:39am April 5th 2017 via Hootsuite
Bhatia: A synthetic biomarker; 500 enzymes in the genome it can be designed against (multiplexing); can be shed in urine (conc) #AACR17
8:37am April 5th 2017 via Hootsuite
Bhatia: Idea - administer an exogenous probe, measure enz activity, amplify the signal upon encountering enz, shed analyte #AACR17
Bhatia: Intrigued by a math problem '11 ref https://t.co/UlNgFyaRQ3 CA125 as a poor diagnostic biomarker - lack of sensitivity #AACR17
8:35am April 5th 2017 via Hootsuite
Sangeeta Bhatia (MIT MA) Activity-based biomarkers for non-invasive cancer detection #AACR17
8:33am April 5th 2017 via Hootsuite
Balasubrumanian: #AACR17 Work on synthetic lethality '13 ref https://t.co/wDkdkzdsdy Room for agents w/Rx properties. Clin trials starting
8:30am April 5th 2017 via Hootsuite
Balasubrumanian: Data suggest G4 mark transcription activation. '14 PLOS https://t.co/fLOWoLWVHw elevated in liver, gastric ca #AACR17
8:29am April 5th 2017 via Hootsuite
Balasubrumanian: Using NHEK vs HaCaT cells and G4 ChIP, shows data linking structures to promoter transcription #AACR17
8:26am April 5th 2017 via Hootsuite
Balasubrumanian: HDAC inhibitor - stimulates open chromatin, and quadruplex formation. #AACR17
8:25am April 5th 2017 via Hootsuite
Balasubrumanian: #AACR17 Recent '16 Nature Genet https://t.co/K23DTTKhmp shows G4 in open chromatin using ATAC-Seq. Upregulation
8:23am April 5th 2017 via Hootsuite
Balasubrumanian: #AACR17 High density of these sites where gene amplification occurs '15 Nature Biotech https://t.co/qbnO9qNeUE
8:20am April 5th 2017 via Hootsuite
Balasubrumanian: Able to do differential G4 sequencing (either stabilized or not); found 500K. Reg role https://t.co/bUlrJxADiQ #AACR17
8:19am April 5th 2017 via Hootsuite
Balasubrumanian: PDS causes transcription and replication dependent DNA damage at G4 sites. '14 ref https://t.co/9P3K9dPvSt #AACR17
8:16am April 5th 2017 via Hootsuite
Balasubrumanian: Visualizing in human cells via cell cycle, shows G0/G1, G1/S and S phases, correlating with presence of ssDNA #AACR17
8:10am April 5th 2017 via Hootsuite
Balasubrumanian: #AACR17 Able to stabilize via pyridostatin and scAb called BG4 '13 ref https://t.co/BKaCgsqUBZ
8:09am April 5th 2017 via Hootsuite
Balasubrumanian: Enriched in upstream promoters and first introns, transcription end-sites, gene bodies, telomeric repeats #AACR17
8:06am April 5th 2017 via Hootsuite
Balasubrumanian: K+ > NH4+ > Na+ > Li+ and predicted quadruplex sequence. G3-6N1-7G3-6N1-7G3-6N1-7G3-6 >300K in the genome #AACR
8:05am April 5th 2017 via Hootsuite
Balasubrumanian: Shows a figure of DNA folded back on itself, with a cation. 'A well-organized knot by single-stranded DNA' #AACR17
8:04am April 5th 2017 via Hootsuite
Shankar Balasubrumanian (Cancer Research UK) G-quadruplexes and DNA dynamics #AACR17
8:02am April 5th 2017 via Hootsuite
ICYMI at #AACR17 AstraZeneca's poster of 4 different ctDNA service providers across dozens of pt samples https://t.co/Wi2tVavWwF
7:50am April 5th 2017 via Hootsuite
Lacey A2: Then a word-substitution - Participants, not Customers. Samples, not sales for transactions. #AACR17
7:40am April 5th 2017 via Hootsuite
Q: How did you come up with SFDC CRM? Lacey: By chance. Collaborator was married to a VC, connected to SFDC. #AACR17
Q: EMR integration? Lacey: Misperception of EMR/EHR - need other ecosystem for research, working now on it #AACR17
7:39am April 5th 2017 via Hootsuite
Lacey A2: Prospectively, who will get cancer / who doesn't. Can leverage integrated datasystem in future. https://t.co/KYeRfTaCJw #AACR17
7:37am April 5th 2017 via Hootsuite
Q: Will collection method affect downstream tests? Lacey: About 22h processing, decisions had to be made. Focus on biomarkers #AACR17
7:36am April 5th 2017 via Hootsuite
Lacey: Innovation 'is just problem solving'. The more problems you solve, the more problems you will see worth solving #AACR17
7:32am April 5th 2017 via Hootsuite
Lacey: 4y to collect 14K samples; how to scale to 1M for #PMINetwork? How to innovate in healthcare https://t.co/QsibN5Cf3R #AACR17
7:31am April 5th 2017 via Hootsuite
Lacey: "Data silos make me cringe today." The best way to solve the data-sharing problem. #AACR17
7:30am April 5th 2017 via Hootsuite
Lacey: Legacy technology - lack of mobile, manual processes ("spreadsheets are everwhere"), data silos (hard to find info) #AACR17
7:29am April 5th 2017 via Hootsuite
Lacey: '13 question: what OS to use? So they used Android b/c it worked better - originally thought it was going to be iOS. #AACR17
Lacey: How can wearables be productive in the research we do? '11 Grant - internet-enabled mobile devices w/scanners #AACR17
7:28am April 5th 2017 via Hootsuite
Lacey: If anyone says 'we went to use iPads to...' then run away! Even fitbit - wearable devices and research - struggling now #AACR17
7:27am April 5th 2017 via Hootsuite
Lacey: So it was $156K/year in phlebotomist time. $36K/year is then cheap. "Remember technology is not innovation" #AACR17
Lacey: Recruitment: 6 calls, 3 v/ms, 3 email. Automated emails: $36K/y for that. For phlebotomists: 800 emails, 10'/email, 13h/w #AACR17
7:26am April 5th 2017 via Hootsuite
Lacey: The largest costs is people - not technology. 10 phlebotomists at 5 min/day = 48 w/y = $4K at $20/hr #AACR17
7:24am April 5th 2017 via Hootsuite
Lacey: Now thru design, dev, testing, deployment. Not 'is it better than SFDC', rather 'will it produce better outcome?' #AACR17
Lacey: Needed real-time reporting across 3 study sites; needed cloud and mobile. Taught epidemiology to their business partners #AACR17
7:23am April 5th 2017 via Hootsuite
Lacey: Slide called 'continuity and incrementalism' - need a db, to copy an Access db. Problem was anchoring bias - familiar info #AACR17
7:22am April 5th 2017 via Hootsuite
