Protected: project 2 update: 10/20/14

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journal club

Multiplex single-molecule interaction profiling of DNA-barcoded proteins
Nature 2014, Church lab, Gu et al

presented by Pallav

Intro

  • current approaches = protein vs. library
  • rather do an everyobdy to everybody screen. One pot analysis not well-based screen

Method

  • single-molecular interaction sequencing (SMI-seq)
  • barcode proteins with DNA.
  • on the mRNA add a barcode and a stalling tag downstream of a polypeptide linker. The ribosome now combines the mRNA and the protein together. (during an in vitro translation reaction following an in vitro transcription reaction).
  • can now mix proteins
  • barcoded RNA annealed to RNA with little tags.
  • create dilute array of polonies in acrylomide gel. Can now sequence.
  • have two different pools with two different primers. Only the ones with one of each primer can be decoded.
  • challenges: very different yields of different complexes. Can count total spots to get estimate of concentrations and thus get estimates of binding efficiency ?

ligand binding screening

  • small molecule binding to GPCR (g-protein coupled receptor) measure affinity based on GPCR’s change in affinity for binding protein arrestin. different ligand in each well.

library to library screening

  • library 1 antibody domains (a bunch of mutated variable forms)
  • library 2 human proteins
  • test 200 x 60. With Illumina reading propose could test 10,000 x 10,000
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Protected: lab meeting 10/20/14

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Sunday 10/19/14

10:30 am – 6:20 pm, 10:30 pm – 12:00 am

Chromatin simulations

  • Anaconda called from sbatch actually worked to get save data.

issues with current simulations

  • black chromatin starts at .4 (and stays there).
  • writing new template to do the the fractal globule 2 step formation first before starting simulation
  • this is actually relatively slow, we may not want to do it fresh each time.

Summary of recent simulations

  • WholeNucV6p15 – 30+ runs of basic blue/black/yellow
    • yellow and black split off a bit too late, but with appropriate difference in slope
    • both yellow and black a bit too relaxed — yellow .5 black .4
    • blue is holding at correct Rg slope of .2 and a reasonable density, looks

NucleusSim2

NucleusSim

PolySim_slowlyConvergingToLines

New simulations

  • running on Odyssey rpt of V6p15 with stiffer yellow and slightly fewer sticky blue
  • testing on Monet new pipeline to generate and relax fractal globule all in same script (V7)
  • V7p2 looking a bit better:
    ImprovingNucleusSim

Running V8p1 — trying to get black to initialize closer to .3 than .4. I think this is because the Random Walk Polymer initiation starts entangled. Trying a simulation with a condensed regular coil.

Meeting Ajaz

  • discuss PH project follow up
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Protected: project 2 update: 10/18/14. On threshold scanning

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Saturday 10/18/14

10:00 am – 1:00 pm, 7:00pm – 9:00pm,

Fly work

  • flip stocks

Simulations

  • troubleshooting running polymer simulations on Odyssey GPU
  • issues using polymer load and save commands — requires joblib
  • testing out with Anaconda via sbatch command
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Friday 10/17/14

10:00 am – 11:00 pm

Project 2

  • see post

Chromatin project

  • working on manuscript
  • playing with chromatin simulations
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Thursday 10/16/14

10:00 am – 12:45 am

Chromatin Modeling

initalization

  • compressed random walk polymer maybe not best initial fractal globule state
  • try using a sticky polymer, these have pretty good fractal structure all the way down.
  • too sticky polymer settles down too slowly (even with local energy minimization).
  • starting from this condensed state and letting the system relax rapidly back to the new target density is also bad
    • in particular, the black chromatin rebounds faster than the yellow, and the yellow stays compressed.

Initial condition variation

  • starting on the same section of the same initial fractal globule has strong effects on behavior
  • fractal globules having all scales of loops have dramatic variation in the size of any given domain. It seems to me insufficient attention has been given to this variability in the literature.

effects of Energy minimization

  • energy minimization greatly helps compacting blue domains
  • energy minimization possibly expands the black domains at the expense of the softer yellow domains.
  • maybe if the yellows are sufficiently transparent they won’t get compressed?
  • not sure if this true — maybe just an artifact of the fact my circ permute domains got all my domains mixed up.

Debugging

  • okay, debugged new permute domains. hopefully this works in disrupting the dependence on initial condition.
  • things looking a bit more promising. Need more averaging!

WholeNucSimNoAve

WholeNucSim2

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Wednesday 10/15/14

Chromatin

Model revisions

  • Add sticky and non-sticky blue (so not all nodes are sticky)
  • helps blue mixing

updates to chromatin model

largeBlueAndBlack smallBlueAndBlack SomeBlueDomains NucleusImage YandKimage6 YandKimage5 YandKimage4 YintScaling SimulatedYintactScaling YandKimage3 YandKimage2 YandKimage blueInternalScalingSimulation2 blueInternalScalingSimulation blueIntactScalingSimulation

working on Polymer simulations

WholeNucSim

PolymerForV5sim

withPartStickyBlue

FractalGlobuleScalingN15000

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Monday 10/13/14

10:00 am – 2:45 am

Chromatin

Literature

  • reading Mirny 2011 review

Simulations

Data for Bogdan

  • send volume table to Bodgan to explore densities
  • send table of internal volumes
  • send table of intact Rgs
  • send table of internal Rgs

To plot for XZ meeting

  • blue internal scaling, just BX-C data. With .5 and .33 reference lines
  • blue internal scaling, just ANT-C data. With .5 and .33 reference lines
  • simulation of pure black chromatin.

Simulations

  • got black working
  • added yellow – too many holes? allows black to equilibrate?
  • reduced yellow – seems to help, hard to tell when not a lot of yellow to go by.
  • went back to all black – back to 0.4 scaling?
  • went back to all black with Grosberg repulsion, still 0.4 scaling.
  • reduced number of domains and increased min domain size (maybe the too smalls are getting in the way).
  • this fixes things, back to 0.3. ‘YellowBlackAllK4_Rnd’
  • switching back from Grosberg to tagged force. Seems to be okay. 0.32 ‘YellowBlackAllK5_Rnd’
  • adding back 10% yellow ‘YellowBlackAllK6_Rnd’. Black seems to stay down at 0.3 to 0.35, though the data is supernoisy with this few points. Yellow with 3 points is useless to fit. showing 0.24 (-1,1.5)
  • ‘YellowBlackAllK7_Rnd’ with more yellow poitns is still pretty even (0.32 black [.21 .42], 0.26 yellow [.13 .4])
  • let’s try making yellow a bit more phantom than 5:50. ‘YellowBlackAllK8_Rnd’ looking at 2::50 comparison
  • This looks a bit more promising, black is staying at .3, yellow is occassionally climbing above (though still very noise).
  • running 200 step, more subchains, larger polymer, long run overnight ‘YellowBlackAllK11_Rnd’.
  • overnight run looks decent. data is still very noisy, maybe this will average away if we use a random chain configuration to start instead of the deterministic wrapping, and we do we enough repeats. (current system of repeats doesn’t average away noise).

Project 2

  • restart Cajal running on scans
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