Chris McFarland

Professional news from the Cancer Evolution Group @cwru.

[Chris McFarland @CancerEvoLab]

The Cancer Evolution Lab at Case is up at https://t.co/SbTgHCZtjk! We're looking to hire two postdocs: https://t.co/UzjDTtZ0rQ

[Jeff Maltas @JeffMaltas]

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:

[Jake Scott @CancerConnector]

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

https://t.co/OQ8TtZFYZv

[Athar Khalil @AtharKhalil17]

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

[Jake Scott @CancerConnector]

Add in some good statistical approaches to fit non-monotone growth rates and you have a nice complete method. Comments welcome!!

[Jake Scott @CancerConnector]

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

https://t.co/vFuFTV0FTr

[Chris McFarland @CancerEvoLab]

So happy to share a Case spotlight of Dr. Athar Khalil - the CanEvo group wouldn't exist without Athar https://t.co/e1LPVc3aT9

[Athar Khalil @AtharKhalil17]

Come check my poster @aacr NCI-EROTIC international conference on Molecular Targets and Cancer Therapeutics A177
#Boston @CancerEvoLab

[Chris McFarland @CancerEvoLab]

Our group is now hiring a Junior Technician. Please checkout details at https://t.co/s41MlpR739, and reach out to me for any questions!

[Chris McFarland @CancerEvoLab]

@_ellie_cat @UCRiverside WOOOO!!!!

[Dr. Stacey Finley (USC Systems Bio Lab) @USCSysBio_Lab]

first time presenting this exciting new work from @colincess! he will have to do a #tweetorial when the paper comes out! #mathonco

[Chris McFarland @CancerEvoLab]

Had a blast at #MathOnc23 - thank you @NikosDim3 for the gorgeous photo 🤩

[Nikolaos Dimitriou @NikosDim3]

Really happy to participate in #MathOnco23 ! What an exciting community!!

[Chris McFarland @CancerEvoLab]

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!!!

[Chris McFarland @CancerEvoLab]

@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!!

[Dagim @Dagim26]

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. https://t.co/lC1aQvmZro. @JeffMaltas @durmaz_aa @CancerEvoLab @hinczewskilab @CancerConnector

[Chris McFarland @CancerEvoLab]

@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)?

[Chris McFarland @CancerEvoLab]

@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.

[Chris McFarland @CancerEvoLab]

Thank you to Slava Tkachenko for helping us address all the reviewer concerns!

[Chris McFarland @CancerEvoLab]

Very Excited to *finally* publish, with @SusanneTilk @PetrovADmitri, our article explaining why deleterious passengers accumulate in genomically-unstable tumors: https://t.co/AOvgGaijYd

[Chris McFarland @CancerEvoLab]

Susanne, Christina Curtis and Dmitri recently characterized the proteotoxic response mechanisms to mutational load and experimentally-validated this model: https://t.co/0nwlDg7u9y