RT @aeonmag: Now is a good time to revisit D. Watkins' piece on the racial divide in #Baltimore: http://t.co/ZpACz6LElf http://t.co/MigJtWH…
3:45pm April 28th 2015 via Twitter Web Client
RT @DeborahNetburn: Truly mind-blowing: New atomic clock allows researchers to detect small gravity changes' subtle effect on time http://t…
7:47am April 28th 2015 via Twitter Web Client
RT @siobhanheanue: I took these photos an hour apart. Was wandering when quake demolished temples before my eyes. Heartbreaking. http://t.c…
9:50pm April 27th 2015 via Twitter Web Client
RT @TCGAupdates: PM goes over details from #TCGA breast cancer paper http://t.co/6HTwPylGhW #AACR15
10:36am April 22nd 2015 via Twitter Web Client
RT @TCGAupdates: PM: Personalized proteome analysis pipeline for deep proteome phosphoproteome data sets by QUILTS http://t.co/FFT8dgMSQw #…
RT @CancerResearch: ICYMI Here's our #immunotherapy focused recap of day one of #AACR15 http://t.co/MvZfKSNocS
10:48pm April 19th 2015 via Twitter Web Client
RT @CancerResearch: Big #immunotherapy news for melanoma, lung cancer, & mesothelioma today at #AACR15. Details in our recap http://t.co
RT @AEDeconinck: June Biedler 1925-2012, rockstar scientist 1st to ID drug resistance, left large bequest to benefit cancer researchers &
9:39am April 19th 2015 via Twitter Web Client
In support of #scicomm for documentarians, science journalists and writers, #AACR15 announces a new award. https://t.co/DO5q3FGTHF
9:38am April 19th 2015 via Twitter Web Client
Mukherjee: "Scientists are the highest of the givers" Credits both book and #CancerFilm documentary as incredible collaboration #AACR15
8:45am April 19th 2015 via Twitter Web Client
RT @cancerassassin1: Why try #socialmedia in #cancerresearch? Use it to introduce yourself to others/facilitate the face-to-face meetings/?…
6:03pm April 18th 2015 via Twitter Web Client
RT @cancerassassin1: Using #socialmedia has opened doors to face-to-face interactions with advocates in my community #AACR15
RT @cancerassassin1: If you haven't seen this Piece in @PNASNews yet,worth a read...to appreciate importance communication science #AACR15 …
RT @cancerassassin1: BTW my presentation slides will be available via Slideshare by end of this presentation at http://t.co/j5wyyNJl6y #AAC…
NS: For mouse: what LOF mutations promote mutagenesis? Known tumor suppressors, new candidates. Cell 2015 http://t.co/VyiEK85NPh #AACR15
12:11pm April 18th 2015 via Twitter Web Client
NS: Improved the vector titer for this method Nature Meth '14 http://t.co/eux7xvtAjP for both human and mouse libraries #AACR15
12:08pm April 18th 2015 via Twitter Web Client
NS: GeCKO screen targets are mutated in exome seq of vemurafenib-resistant tumors #AACR15
12:07pm April 18th 2015 via Twitter Web Client
NS:Showed large difference in consistency between CRISPR and RNAi screens 2013 RNAi ref http://t.co/4XW3SZZLa9 #AACR15
12:05pm April 18th 2015 via Twitter Web Client
NS: Pos selection Wagel '11 ref: http://t.co/10PxTKplIu Vemurafenib treatment Science 2014 ref http://t.co/zB61yt8gjr #AACR15
12:03pm April 18th 2015 via Twitter Web Client
NS: 65K sgRNA library (3-4/gene, 18K genes), all cloned into Lentiviral vector, can select. Genome-scale CRISPR KnockOut (GeCKO) #AACR15
11:58am April 18th 2015 via Twitter Web Client
NS: Strategy: find constitutively-expressed genes. Used BodyMap genes from @illumina (16 tissues). Design http://t.co/IKBfmtJjT1 #AACR15
11:57am April 18th 2015 via Twitter Web Client
NS: Lentivirus: can control MOI, get stable integration, select via puromycin. Shows FACS of HEC cells w/GFP, cp RNAi to CRISPR #AACR15
11:54am April 18th 2015 via Twitter Web Client
NS: Parameters: one sgRNA per cell; must barcode for ID; needs to be complete; specificity needed. Uses lentiviral delivery #AACR15
11:52am April 18th 2015 via Twitter Web Client
NS:Can put on many sgRNAs on a chip, as a library. Non-homologous end-joining to get gene knockouts. #AACR15
11:51am April 18th 2015 via Twitter Web Client
NS: Illustrates ZfN's (96), TALENs (09), but all require new proteins. CRISPR-Cas9 (11): guide RNA gives specificity, #AACR15
11:50am April 18th 2015 via Twitter Web Client
NS: Start w/phenotype, what multiple genetic elements and interactions causing phenotype? #AACR15
11:48am April 18th 2015 via Twitter Web Client
NS: Which var's create drug resistance? How to test rapidly in parallel? Focus traditionally: one gene, many phenotypes #AACR15
11:47am April 18th 2015 via Twitter Web Client
NS: Number of TCGA samples in 2014 reached 10K. But only reading; what about writing? Take var's and put back into other cells #AACR15
11:46am April 18th 2015 via Twitter Web Client
Neville Sanjana (Broad Inst.) “Genome-scale CRISPR/Cas9 screening: technology and applications” NS #AACR15
11:44am April 18th 2015 via Twitter Web Client
DA:Q:Can CRISPR be used for mouse and SL? A:Oppy is there, can be exploited. #AACR15
11:43am April 18th 2015 via Twitter Web Client
DA: PAX5 disruption (del, mutation, translocations); in mouse, thymectomy, ENU treatment. Led to new ALL genes in human #AACR15
11:42am April 18th 2015 via Twitter Web Client
DA: In mouse, LRP1B homozyg. deleted. Led to discovery in human. #AACR15
11:39am April 18th 2015 via Twitter Web Client
DA:Also - can assess the fidelity of mouse cancer models. Varela 2010 http://t.co/6c0hoA2fJ6 Mouse tumors are 'quiet' #AACR15
11:38am April 18th 2015 via Twitter Web Client
DA: Why large-scale sequencing in mouse? Cancers have higher driver:passenger ratio. Kras-G12D; Trp53: can ID new drivers #AACR15
11:36am April 18th 2015 via Twitter Web Client
DA: Linda Chin (MDA) NEDD9 amplified in human cancers (8% of melanomas). NEDD9 identified in mouse. #AACR15
11:35am April 18th 2015 via Twitter Web Client
DA: Now onto mouse w/BrafV600E melanomas, combined with Tn screens. Discovered ERAS, interacts w/PI3K. #AACR15
11:32am April 18th 2015 via Twitter Web Client
DA: Candidate Cancer Gene Database http://t.co/m6f0Idkvbm #AACR15
11:29am April 18th 2015 via Twitter Web Client
DA: Data from ICGC, TCGA data (7,653 cancer genomes): pattern of tumor suppressor, 1-5% in LOF of Cux1 #AACR15
11:27am April 18th 2015 via Twitter Web Client
DA: Found Cux1 gene - 19/44 tumors had Cux1 insertion. Reduced Cux1, activates PI3K #AACR15
11:26am April 18th 2015 via Twitter Web Client
DA: In T-cell ALL: use MX1-Cre to turn on transposase. Can find insertion in well-char ALL genes (Notch1 etc) but novel too. #AACR15
11:25am April 18th 2015 via Twitter Web Client
DA: Tn example: T2Onc, with loss of function, or gain of function. Can ID promoters, suppressors, oncogenes dep. on where they land #AACR15
11:23am April 18th 2015 via Twitter Web Client
DA: Tn-mediated mutagenesis - simulates mutational acquisition. In mice - sleeping beauty (from fish), piggy bath (cabbage moth) #AACR15
11:22am April 18th 2015 via Twitter Web Client
DA: Making the case for mouse model: interventions not possible (nor ethical) in humans. CTL-4, WNT signaling. #AACR15
11:21am April 18th 2015 via Twitter Web Client
David Adams (Wellcome Trust) "Large-scale genetic screens in mice: pathways, drivers and drug resistance" DA #AACR15
11:20am April 18th 2015 via Twitter Web Client
ER:Raises SL rescue - how resistance responds to treatment, the evolving pathways. #AACR15
11:18am April 18th 2015 via Twitter Web Client
ER:Q:What about CRISPR knockouts? A:Expect their SL's on better experimental data 'will be better'. #AACR15
11:15am April 18th 2015 via Twitter Web Client
ER: 23 drugs across 593 lines, and 32 drugs cross 231 lines: sig accurate predictions obtained for 83 / 70 drugs (unsuper/super) #AACR15
11:11am April 18th 2015 via Twitter Web Client
ER: Using machine learning techniques, have been able to improve SL model to 80%. #AACR15
11:09am April 18th 2015 via Twitter Web Client
ER: Able to get 75% of cancer cell lines (w/phenotype) match the gene essentiality #AACR15
11:06am April 18th 2015 via Twitter Web Client
ER: Figure though does show hubs of types of interactions. SL network enriched in suppressors, oncogenes, proliferation etc #AACR15
11:01am April 18th 2015 via Twitter Web Client
