| Monday | to Top |
Welcome to our workshop "Modeling Diversity in Cancer and Virus Evolution", starting today at 5 p.m. with an evening lecture by Alison Hill. Hashtag is #evodiv18 https://t.co/SPRlKPJARB @EvolSci @EvolTheoArne
At the MPI Evolutionary Biology we are looking forward to sone awesome talks abd discussions on modeling/understanding cellular diversity in disease #evodiv18 https://t.co/3IlQRBDeYz
@EvolSci @WorkshopsPloen @ara_anderson @CancerConnector @trevoragraham @alison_l_hill @EvolTheoArne @D4N__ @ @EvolSci Hope you tweet summaries of the talks at #evodiv18. Sad I cant be there in person this time.
Our very own @EvolSci kicks off the Max Planck meeting on Modeling diversity in cancer and virus evolution #evodiv18 https://t.co/8qEbmmHVAk
@alison_l_hill kicks off our small but very exciting workshop @WorkshopsPloen introducing hiv infrction biology #evodiv18 https://t.co/ISO9Q5xlXD
#evodiv18 hiv: main resistance emergence in a patient is de novo (unlike many bacterial infections)! https://t.co/gvihNBf4Rh
Great overview of HIV drug resistance from @alison_l_hill to start #evodiv18 - more about her lab here: https://t.co/s61OiC7Wwl https://t.co/DibhbOABun
First up is a literally just off the plane Alison Hill from @Harvard on Using HIV sequence diversity to better understand the infection #evodiv18 https://t.co/trrTZNr40i
First mention of fitness landscape at #evodiv18 - won’t be the last... nice way to visualize it. Helpful for QS work @D4N__ @andrewdhawan @trevoragraham ? https://t.co/SeqlzuYnS5
Fitness landscapes in HIV infection dynamics under varying drug concentrations can be complicated #evodiv18 https://t.co/PXggqVeziJ
Lots of discussuon during @alison_l_hill talk around characterizing resistance, trying to understand the parrallels with cancer #evodiv18 https://t.co/f9sk9ZzMb6
@alison_l_hill on the all time classic in HIV and math bio models by @DrMANowak et al cells are basically well mixed and latently infected cells tend to be long lived #evodiv18 https://t.co/WOdawGCtza
.@alison_l_hill tells us that the shape of the dose response curve has a huge impact on treatment outcome - so does adherence to taking the drug as prescribed! #evodiv18 https://t.co/jAtqaTM4R9
#evodiv18
Sunset dinner on the lake with @EvolSci @CancerConnector @AndriyMarusyk @trevoragraham @MRobertsonTessi @D4N__ and more #evodiv18 https://t.co/miWelp9Jxr
| Tuesday | to Top |
Co-organizer @EvolTheoArne introduces our 1st speaker this morning, Ian Tomlinson: The evolutionary history of colorectal cancers #evodiv18 https://t.co/hFjqnvuG0g
Tomlinson discusses the clonal evolution framework showing some Mueller plots of specific cancers #evodiv18 https://t.co/ImmquKJsQ1
Tomlinson discusses multiregion sampling strategy and highlights results that shows that both carcinomas and adenomas have similar driver burdens!but distinct CNAs! So the standard vogelgram view doesn't seem true #evodiv18 https://t.co/JGgsCMOzkl
Ian Tomlinson discusses work from @wchcross examining the genetic evolution of colorectal adenomas and cancers. Surprisingly similar mutation burdens in early and late tumours, some evidence of positive selection on subclones in adenomas, negative selection in cancers #evodiv18 https://t.co/YBsqY6pmDX
Tomlinson states that adenomas and carcinomas are not significantly different with respect to their driver mutations #evodiv18 https://t.co/AKANJI4Aa6
Parients can develop multiple potentially unrelated lesions-parallel evolution on the functional level? #evodiv18 https://t.co/YC3K80h7k7
Gorgeous work from Ian Tomlinson @trevoragraham & @AndreaSottoriva et al showing different drivers in different leaves of colorectal tumors. amazing targeted therapy is still considered a possible panacea instead of part of a broader personalized approach #evodiv18 https://t.co/9kF3DcxCJB
@EvolSci More about Prof Tomlinson here: https://t.co/5cnCHIZRGq #evodiv18
Copy number alterations might be more abundant in contributing to cancer progression (rather than driver mutation accumulation). In adenomas classical selective sweeps are not the norm... #evodiv18 https://t.co/sMITbfgrVG
Tomlinson concludes his impressive study with @trevoragraham by comparing results with the classical Fearon and Vogelstien sweep model as well as the @AndreaSottoriva big bang model #evodiv18 https://t.co/bxXCGk3dTh
Absolute classic acknowledgements slide with a night out on the town shot of a younger @trevoragraham & @wchcross #evodiv18 https://t.co/NVCniE4lS5
Next up is friend & colleague @CancerConnector discussing his new lab, Theory Division: Learning and perturbing the eco-evolutionary mechanisms driving therapeutic resistance #evodiv18 https://t.co/O03HO4lYQs
And on his way @CancerConnector tries to wrestle down math equations #evodiv18 https://t.co/Uey6utO5yF
.@CancerConnector shows a very cool Frankenstein slide that illustrates beautifully how Cancer is a complex Adaptive system #evodiv18 https://t.co/mt6X1qt6Kz
.@CancerConnector discusses our paper with @dbasanta that was his "gateway drug" to the #mathonco world #evodiv18 https://t.co/frSvq0ssDQ
@CancerConnector asks how to put meaning into the payoff matrix of an evolutionary ganecthat plays out within a tumor, using the gain function #evodiv18 https://t.co/QcO5zGQwKE
And the game example is played among sensitive & resistant cells and fibroblasts (alectinib) #evodiv18 https://t.co/HIsXnB2lFO
Jacob Scott @CancerConnector modelling Alectinib resistance in vitro and with a game theory formulation. #evodiv18 https://t.co/ilkH2qzYVJ
The game they find is mostly benevolent chicken #evodiv18 how does treatment change the game? https://t.co/11jeV1yo5h
@CancerConnector describing the various work we do in lab to wrangle drug resistance! #evodiv18 https://t.co/DVlKfY0Li3
.@CancerConnector discusses his cool collaboration with @AndriyMarusyk @kaznatcheev @dbasanta on parameterizing a evolutionary game using experiments! https://t.co/gr6oYBRnSC #evodiv18 https://t.co/rpx9Y5aRAq
head of the IMO @mathonco @MoffittPSOC presents on adaptive therapy at @MoffittNews and pre existing resistance #evodiv18 https://t.co/RaevlNzzbp
@ara_anderson @dbasanta Paper here: https://t.co/sCPGvX6hKv #evodiv18
@ara_anderson @AndriyMarusyk @kaznatcheev @dbasanta If you enjoyed this talk- see back story in @kaznatcheev ‘s great blog: https://t.co/YERrshys9U #evodiv18
Adaptive Therapy. The future of cancer treatment: working around inevitable resistance evolution by switching to clever (math guided) control approaches #evodiv18 https://t.co/3x7sPCqYse
My mentor and friend @ara_anderson shows off stunning impact on the field of #mathonco through workshops, integration and training over the last decade. #dedication https://t.co/SqExcDLw2L #evodiv18 https://t.co/AbcAd8VoIe
Paper here: https://t.co/rPLTgeb2gi #evodiv18 https://t.co/bCu26Tp980
Adaptive Therapy. The future of cancer treatment: working around inevitable resistance evolution by switching to clever (math guided) control approaches #evodiv18 https://t.co/3x7sPCqYse
Given the distribution of sensitivity, what is the best adaptive therapy approach? #evodiv18 https://t.co/5xAl8XGUcb https://t.co/AHScax0uYS
Interessant das sich #evodiv18 & #EBX18HH in den Trends etabliert haben. Auch wenn mir beides nix sagt, scheinen die Teilnehmer ihren Spaß zu haben... Solidarische Grüße, an einem #BeDi (Bescheidenen Dienstag)...
Lots of inter-animal variability even in genetically identical mice - each animal requires its own model! #evodiv18 https://t.co/o7TVOS7619
Great workshop going on in beautiful Plön, Germany at the Max Planck for evolutionary biology. Follow along using #evodiv18 - for great talks on #mathonco and #mathevo and viral evolution ( #mathviro ?). https://t.co/YqzI7On7TO
And now Luka Opasic turns to the Q Why new drugs do not work (as planned)? #evodiv18 https://t.co/uOyVrai9X6
Next up is a student of @EvolTheoArne Luka Opasic: Inferring clonal mutations from a spatial computational model of intratumour heterogeneity #evodiv18 https://t.co/c5ICKdZqZp
Closing the morning is friend and former @mathonco member @D4N__ presents exciting new work with @AndreaSottoriva on Clonal tracking in experimental evolutionary therapy #evodiv18 https://t.co/EM7eYt2X1l
.@D4N__ cautions about falling for a beautiful hypothesis and the need for experimental systems to quantify and test them #evodiv18 https://t.co/WdbIFNxRnZ
.@D4N__ shows how to experimentally track evolution over time and some very cool results of the resulting clonal dynamics over time! #evodiv18 https://t.co/YDa2ym895b
Right hand in the #AndersonLab @MRobertsonTessi presents Evolution of competing diversities: Tumor vs Immune - a collaboration with @luddyka #evodiv18 https://t.co/aV00U5ri1f
Now @AndriyMarusyk asks what are the obstacles for evolutionary Darwinian selection thinking in basic cancer research #evodiv18 https://t.co/7zt9VD1OiT
@AndriyMarusyk reminds us that cancer evolution is more than just mutations... but this is rarely given more than just lip service #evodiv18 https://t.co/KMXQAiIpJJ https://t.co/aO3paZi9OU
The yin-yang of tumor evolution: diversification and natural selection #evodiv18 https://t.co/JysdinRQy1
Next up @MoffittResearch colleague @mathonco experimentalist and friend @AndriyMarusyk discusses Evolution of resistance to ALK targeting therapies in NSCLC #evodiv18 https://t.co/l1bjXrHcoj
a simple math model? To answer how many epi-mutational steps might be needed to acquire resistance #evodiv18 https://t.co/vpTWmoMju8
„Darwinian evolution“ - I don‘t think it means what you think it means... #evodiv18 https://t.co/HFm6I6f0ZX https://t.co/OCtFpZUxnt
Nice presentation by @lopasic1! #evodiv18 https://t.co/T5wLBE0Suc
Next up is a student of @EvolTheoArne Luka Opasic: Inferring clonal mutations from a spatial computational model of intratumour heterogeneity #evodiv18 https://t.co/c5ICKdZqZp
Now newly recruited Max Planck PI Frederic Bertels: Convergence in viral populations #evodiv18 https://t.co/zrrvAFyrnG
@AndriyMarusyk highlights theoretical work together with @NaraYoon12 in two different projects. Great example@of strong inter-disciplinary work! #evodiv18 paper here: https://t.co/0mE1pwf2q9 https://t.co/JuYAEBrMBH
@fredeBio wants to elucidate freq dependent effects in viral convergent evolution (wild HIV) #evodiv18 https://t.co/ltviKtefs8
Chairing the session is @WolframMoebius https://t.co/5l6Crc5srO of @UniofExeter #evodiv18 https://t.co/k67Zd2s4cv
First talk in what will be a career of many. @nkrishnan94 opens talking about prior work by @D4N__ steering evolution #evodiv18 https://t.co/2WwB7Ua09u
Next its Nikhil Krishnan from @CancerConnector lab on Exploring evolutionary trajectories of populations subjected to sequences of drugs in vitro #evodiv18 https://t.co/G3zb3FfpIP
Now @jatinaora of @evotobi lab presents on heterozygote advantage in mhc alleles #evodiv18 https://t.co/lWOp3GGPDV
Closing today is Jatin Arora: In depth characterisation of a hallmark for balancing selection: HLA heterozygote advantage against HIV-1 #evodiv18 https://t.co/cFgby6f2KR
| Wednesday | to Top |
Opening day 2 is Roland Regoes: Estimating the mutational fitness effects distribution during early HIV infection #evodiv18 https://t.co/bYkdED8hBb
Glad to be back in one piece at the institute, to listen to Roland Regoes on mutational fitness effects in early HIV infections #evodiv18 https://t.co/fGShdHRoZM
Reconstructing infection routes using phylogeography, to be used within hosts #evodiv18 https://t.co/U9r7oPIqui
In vitro compartmentalization to examine virulence and adaptation to cell cultures by mutations and migration ‘in space’ #evodiv18 https://t.co/5NuEtRBFFm
Regoes discusses Linear accumulation of majority mutations in 4 parallel HIV infected cell lines and highlights key shared mutations #evodiv18 https://t.co/8901c8y2al
Avid discussion mid-talk on modeling the probability density or mass over fitness in mutating & evolving populations #evodiv18 https://t.co/zkAkT4vyKi
Regoes shows some examples of mutational fitness effects distributions that highlights the largely negative effect on fitness #evodiv18 https://t.co/5ay7fu42so
Luis Zapata of @AndreaSottoriva lab @ICR_London elaborates on the driver gene dogma, heading towards detecting traces of immune-mediated negative selection, in cancer #evodiv18 https://t.co/pgwA1aMk5n
Next up is Luis Zapata discusses Detection of immune-mediated negative selection using dN/dS #evodiv18 https://t.co/gJQGYD7kpw
Zapata presents the seminal paper by Nowell and highlights the fact that this figure shows negative, positive and neutral selection events #evodiv18 https://t.co/SBbVoDwvQ0
Zapata gives a shout out to his previous paper in @SciReports on Positive selection at molecular, cellular and organismal levels https://t.co/gbrl9pkxPy #evodiv18 https://t.co/EcwwJlsTVz
‚There are some biological examples that can be studied within a general framework‘ @michaelnicholson states Michael Nicholson of @EdinburghUni #evodiv18 https://t.co/6OjfFhMG1S
Zapata shows that patient specific immune response correlates with the dN/dS ratio #evodiv18 https://t.co/MgHgekQmg0
Next Michael Nicholson presents something a little more theoretical: Competing paths in growing populations over fitness valleys #evodiv18 https://t.co/yidP94acR1
Now friend and colleague @trevoragraham presents: Measuring evolutionary dynamics of human cancers @QMULBartsTheLon #evodiv18 https://t.co/M6xyAnVPSt
.@trevoragraham discusses the issue of intra-tumour heterogeneity and how next generation sequencing can be used to calculate the variant allele sequences which will tell us how a specific cancer evolved #evodiv18 https://t.co/WfKMAeM7dv
.@trevoragraham shows some intriguing selection results in colorectal cancer where treatment is the selective force! #evodiv18 https://t.co/v8uIpFWriF
.@trevoragraham explains how positive selection causes bumps in the VAF distributions - these bumps will move through the distribution like a traveling wave as clonal sweeps happen! #evodiv18 https://t.co/bi0EIGRTnh
Beautiful talk by @trevoragraham on the effect of selection on the VAF spectrum in cancers. Learn about dynamics from a single snapshot! #evodiv18 https://t.co/eNVNCYMv8D
This is super cool @trevoragraham . Quantitative predictions about which AML clones will take over by estimating selection coefficients of sub-clones. #evodiv18 https://t.co/K6J9Qy1DEv
Lots of discussion around @trevoragraham slide predicting AML evolution based on measured VAF distributions - @CancerConnector asks what can we do with this for the patient? @trevoragraham responds, use it to drive evolutionary therapies! #evodiv18 https://t.co/4ssxul7uMD
@trevoragraham now moving on to newest work - the effects of mutational processes and selection on driver mutations https://t.co/RB4XLnqo4u #evodiv18
@trevoragraham now we‘re talking: alternative measures of selection https://t.co/3ifki31YwW #evodiv18 https://t.co/IYRUA5zmCe
Closing the morning session is @EvolTheoArne student @marvin_boe on Stopping treatment of CML in virtual patients #evodiv18 https://t.co/GEnrRQzWBP
@marvin_boe closing the session with a math model of stem cell driven dynamics in CML, code on https://t.co/KJSOI28JX3 #evodiv18 https://t.co/m9bpOquDMl
Should we stop the TKI treatment of the CML at some point? @marvin_boe
#evodiv18 https://t.co/zkx5VhPzme
Opening the afternoon session is @EvolSci lab member Meghan Ferrall-Fairbanks: Evolution of clonal heterogeneity in chronic myelo-monocytic leukemia #evodiv18 https://t.co/wKcc7N62Mh
@DrMeghanFerrall presents first findings of our attempts understanding evolution and speed of progression in leukemias #evodiv18 https://t.co/Stl5nLrpLD
Learn more about the Altrock lab here: https://t.co/Zw0Jv5h1gC #evodiv18 https://t.co/xoSxrV31oD
@DrMeghanFerrall presents first findings of our attempts understanding evolution and speed of progression in leukemias #evodiv18 https://t.co/Stl5nLrpLD
TRAIL and FLT-3 ligand abundance can predict CMML progression rates #evodiv18 https://t.co/Eo9dzu5EXX
Dr Charlotte Flüh of @kieluni now presents on dormancy and brain mets #evodiv18 https://t.co/XeFuw8Xj5y
#evodiv18 temozolomide treatment of glioblastoma is associated with upregulation of dormancy markers https://t.co/ON7J2yj5O4
Now Charlotte Fluh presents Immunogenicity and tumor dormancy in brain metastases: comparison of central and peripheral markers of tumor dormancy/relation to NKG2DL ezpression #evodiv18 https://t.co/y99mCYJ8PS
@WolframMoebius now presents some of his exciting findings (theoretical & experimental) in evolution of spatial spread #evodiv18 #evodiv18 https://t.co/86LTTWMyIO
Final talk of the day by @WolframMoebius on Front dynamics and evolution associated with spatial spread #evodiv18 https://t.co/SMhOoQIFhO
Brilliant talk from @WolframMoebius modelling "geometry enhanced genetic drift". Shows how microenvironmental heterogeneity has a (somewhat deterministic) influence on genetic diversity. #evodiv18 https://t.co/xhHw3frRki (check out video S4)
Interesting! Is there a preprint that I can look more into, @trevoragraham ? Thanks @florisbarthel for bringing #evodiv18 to my attn. https://t.co/Q6VCcWSqGg
This is super cool @trevoragraham . Quantitative predictions about which AML clones will take over by estimating selection coefficients of sub-clones. #evodiv18 https://t.co/K6J9Qy1DEv
Opening the final morning is @EdinburghUni mathematician Tibor Anatal: Analytical results for models inspired by cancer. It's the first presentation live on the chalkboard! #evodiv18 https://t.co/1Qrk8scPAp
Tibor Antal of @EdinburghUni goes to the black board to deliver deep insights on simplest models of cellular growth #evodiv18 https://t.co/WqLPlQ0iEw
Wednesday evening BBQ with perfect Plön weather #evodiv18 @EvolSci @ara_anderson @lopasic1 @D4N__ https://t.co/VQsWsepPOJ
Now @jrblundell presents The dynamics of genetic diversity during clonal evolution #evodiv18 https://t.co/b7H9HKJdvR
.@jrblundell shows the direct impact of context on lineage diversity #evodiv18 https://t.co/fTS5QGihTO
@jrblundell on clone size distributiond and changes in diversity in sequential mutant expansions (math model inspired by yeast) #evodiv18 https://t.co/zu6M3ZL0K5
.@jrblundell shows a clear schematic of Luria-Delbruck vs clonal evolution #evodiv18 https://t.co/qGuzw9yhLs
Closing the meeting is organiser, friend and @mathonco colleague @EvolSci presenting Selection, cellular diversity and disease progression #evodiv18 https://t.co/IAqBVXb78k
had a great time at #evodiv18
Thank you all for comming to Ploen!
A safe trip home to all workshop participants! Check out the hashtag #evodiv18 for a summary of all talks & discussions.
Learnt so much and had many good discussions at #evodiv18 (Modeling Diversity in Cancer and Virus Evolution) @WorkshopsPloen. It's exciting to see the abstract side meet the applied side. Thanks for organizing, @EvolSci and @EvolTheoArne.
Former trainees of @DrMANowak reunite to find commonalities between virus/bacteria/cancer evolution at #evodiv18 https://t.co/xk4UqYbIE6