Chris McFarland @CancerEvoLab
Professional news from the Cancer Evolution Group @cwru. mcfarlandlab.org Cleveland, OH Joined September 2015-
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Chris McFarland retweeted
Our recent @PRX_Life paper was selected as the very first journal cover and it looks great :) Past thread explaining why we're are just so excited about this result below:
Incredibly excited that our paper examining the role of ecological interactions in preexisting drug resistance is out! We tackle the apparent paradox between the cost of resistance in the absence of treatment, and the ubiquity of preexistence. 1/20 Link: go.aps.org/4c5FmH4
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Chris McFarland retweeted
Excited to share new paper led by postdoc @JeffMaltas (on the job market!) out today in @PRX_Life (1/4 🧵) Frequency-Dependent Ecological Interactions Increase the Prevalence, and Shape the Distribution, of Preexisting Drug Resistance #cancer #ecology journals.aps.org/prxlife/abstra…
Chris McFarland retweeted
Excited to showcase our poster at #AACR on Tuba-seq and the latest innovation in lung cancer discovery! Visit Section 26 to learn more. #AACR24 #AACR #cancerresearch #lungcancer @AACR @CancerEvoLab @cwru @cwruSOM @cwruPostdocs
Chris McFarland retweeted
Add in some good statistical approaches to fit non-monotone growth rates and you have a nice complete method. Comments welcome!!
Chris McFarland retweeted
Proud of @cwrumstp student Eshan King for publishing 1st thesis paper this week @PLOSCompBiol! In it, we explore how #FitnessSeascapes encode multple #evolutionary trade-offs during changing drug dosing (either in space or time). Short thread journals.plos.org/ploscompbiol/a…
So happy to share a Case spotlight of Dr. Athar Khalil - the CanEvo group wouldn't exist without Athar thedaily.case.edu/postdoc-spotli…
Chris McFarland retweeted
Come check my poster @aacr NCI-EROTIC international conference on Molecular Targets and Cancer Therapeutics A177 #Boston @CancerEvoLab
Our group is now hiring a Junior Technician. Please checkout details at linkedin.com/jobs/view/3664…, and reach out to me for any questions!
@_ellie_cat @UCRiverside WOOOO!!!!
Chris McFarland retweeted
first time presenting this exciting new work from @colincess! he will have to do a #tweetorial when the paper comes out! #mathonco
Stacey now shows cool just accepted work in @PLOSCompBiol on modeling the tumor-immune ecosystem at the tissue scale. Love the idea of using a feed forward network to make macrophage state decisions facilitating a massive speed up in computational time!
Had a blast at #MathOnc23 - thank you @NikosDim3 for the gorgeous photo 🤩
Chris McFarland retweeted
Really happy to participate in #MathOnco23 ! What an exciting community!!
Next we have Nikolaos Dimitriou presenting, Investigating sedimentation in 3D cultures with an integrated experimental-computational framework #MathOnco23
We have our first graduate: Xiangzhen Wei successfully defended his Master Thesis! Xiangzhen has been working collaboratively to extend TuBa-seq to model heterozygous losses for pharmacogenomic modeling. Congrats!!!
@Dagim26 @JeffMaltas @durmaz_aa @hinczewskilab @CancerConnector This paper reminded me of Haldane's Sieve, but for ecological interactions. Crazier still: every drug resistant variant Dagim measured exhibits a positive ecological interaction with ancestor!!
Chris McFarland retweeted
Happy to share our pre-print describing how frequency dependent interactions b/n resistance & sensitive cells affect the prevalence & distribution of pre-existing drug resistant cells. biorxiv.org/content/10.110…. @JeffMaltas @durmaz_aa @CancerEvoLab @hinczewskilab @CancerConnector
@skryazhi This raises another question: given that sequencing is the biggest cost, shouldn't barcode lengths be a commonly-ordered read length (e.g. either 50, 100, or 150 bp)?
@skryazhi Very useful! I wonder if you have thoughts on paired-end sequencing? With Hi-Fi PCR, it can theoretically square sequencing errors without costing double. However in Fig. 3, a 60-bit barcode more than doubles the average hamming distance between barcodes relative to 30 bits.
Thank you to Slava Tkachenko for helping us address all the reviewer concerns!
Susanne, Christina Curtis and Dmitri recently characterized the proteotoxic response mechanisms to mutational load and experimentally-validated this model: biorxiv.org/content/10.110…
Very Excited to *finally* publish, with @SusanneTilk @PetrovADmitri, our article explaining why deleterious passengers accumulate in genomically-unstable tumors: elifesciences.org/articles/67790
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