I released a first version of a book on data visualization with R & ggplot2.
Target audience = wet lab scientists.
It's work in progress, so any feedback/suggestions/comments are appreciated!!
#DataViz
#Rstats
Very happy that our manuscript on the
#PlotsOfData
web tool is out in
@PLOSBiology
.
Here's a link to the paper:
And the app:
Some examples of
#dataViz
made with PlotsOfData:
I've made the material for teaching a basic course on Image analysis for fluorescence microscopy available online. Feel free to use or modify as you like:
Working with someone who came from the FP development field, I'm learning all about the dirty secrets that never made it to the publications announcing several well known fluorescent proteins.
I made an app that shows ggplot2 code & plot. Hopefully useful for learning/teaching/understanding ggplot2. The app lives here:
#dataViz
#ggplot2
#shiny
Proudly presenting our first Shiny app that runs in python made by Xinwei Song:
ezReverse - simple background inversion of full color images and plots
Try it here:
Protocol
#14
is a step-by-step guide to make a Volcano plot with R/ggplot2.
Useful if you want more control over the
#dataViz
than is offered by the VolcaNoseR web app.
I added three more protocols to my book on data visualization in R/ggplot2 for wet lab scientists.
Protocol 13 explains how to plot multiple plots side-by-side.
Find all protocols here:
Movie made by master students (with help of Janine Arts) showing white blood cells passing through a monolayer of endothelial cells - three cells pass at the same point, coincidence?
This white blood cell (magenta) is trapped under an endothelical cell by focal adhesions (grey) and makes a 180 degrees turn to escape.
TIRF timelapse imaging by
@EikeMahlandt
& Janine Arts.
Details:
Excited to announce a new preprint from our lab in which we optimized an optogenetic toolbox to control endothelial cell function - fantastic work by
@EikeMahlandt
!
I was contacted for advice on setting up expts with a
#FRET
biosensor.
Me: “Can you think of a simpler experiment to address your question?”
Him: “Yes”
Me: “That’s my advice”
For fluorescent proteins, there may be a large mismatch between in vitro (theoretical) brightness and brightness in cells. This is explained in my blog:
The quantification of intracellular calcium concentrations is difficult. That's why we engineered a biosensor that uses lifetime contrast to simplify quantitative calcium imaging:
What's your favorite movie that stars a fluorescent protein?
One of my favorites is from a cell cycle indicator made by Atsushi Miyawaki and colleagues:
Actually, I have a student that can see fluorescence emitted by miRFP670. Two other people cannot see it.
It needs a larger cohort, but it's quite intriguing....
I wrote a very basic step-by-step instruction for quantifying intensities from time-lapse imaging data for our students, maybe it's useful for others - it uses only freely available software (no Excel!):
"Here, we successfully use LIVE-PAINT to image yeast membrane proteins that do not tolerate the direct fusion of a fluorescent protein by using peptide tags as short as 5-residues"
Proudly announcing our efforts to improve a Rho GTPase biosensor for detecting endogenous RhoA activity.
Congrats to first author
@EikeMahlandt
, the driving force behind the project!
A thread explaining the main findings follows ⬇️
Wouldn't it be great to have journals with a take-it-or-leave-it option:
Authors submit a full(!) paper, with the condition that no extra experiments can be requested, only textual changes (or re-analysis of data). Editor/reviewers decide to take it or leave it.
New
#preprint
from our lab 🎉 🥳
We report an iLID-nanobody fusion to enable
#optogenetic
recruitment to
#GFP
. This is potentially interesting when you already have a cell line or model organism expressing a GFP fusion protein.
#Preprint
#Protip
:
When you include an image on the first page of the pdf submitted to
@biorxivpreprint
it's shown on the webpage right under the abstract - examples:
Looking for ways to make a volcano plot? Try our free online webtool VolcaNoseR for easy plotting and annotation:
Preprint:
Comments on the app and/or preprint are welcome!
I'm excited to announce a new preprint which reports the results of a trip by
@EikeMahlandt
and Janine Arts to the Advanced Imaging Center in Janelia
@AICjanelia
.
I'll briefly highlight some of the findings below ⬇️
Plasmids with the turquoise biosensor for imaging of absolute calcium concentrations are available from
@Addgene
Biosensor design and application are reported here:
Today I installed two browser extensions:
-One to automatically accept all cookies
-One that throws away the cookies after leaving the page
So far, it works like a charm!
When I first heard about GFP, I muttered ‘this will never work’. Here is the story of how my love for GFP (and its family members) grew over the years....
A serendipitous finding , reported by 1999 Tsien and colleages in 1999, led to the notion that fluorescent proteins can be turned into biosensors.
🧵with a bit of biosensor history ⬇️
Updated SuperPlotsOfData, now showing the stats per replicate when the data are 'split' - a small improvement (suggested by
@Schneider_Lab_
) but it makes the plot much more intuitive
If you want to get started with Python for image analysis, I can highly recommend the fantastic lectures on 'Interactive bioimage analysis with Python and Jupyter' by
@guiwitz
|
@NEUBIAS_COST
A new blue fluorescent protein 'Surime' is reported in this paper: "Extension of the short wavelength side of fluorescent proteins using hydrated chromophores, and its application"
We have validated and optimized a biosensor for Cdc42 activity and used it to detect highly localized activity of Cdc42 near invadopodia with TIRF microscopy. Movies by team
@RhoPower
- details in our most recent publication: