scholarly journals Identification of potential short linear motifs (SLiMs) in intrinsically disordered sequences of proteins by fast time-scale backbone dynamics

2021 ◽  
pp. 100029
Author(s):  
Snigdha Maiti ◽  
Soumya De
2020 ◽  
Author(s):  
Evelyn Ramberger ◽  
Valeria Sapozhnikova ◽  
Elisabeth Kowenz-Leutz ◽  
Karin Zimmermann ◽  
Nathalie Nicot ◽  
...  

AbstractThe pioneering transcription factor C/EBPα coordinates cell fate and cell differentiation. C/EBPα represents an intrinsically disordered protein with multiple short linear motifs and extensive post-translational side chain modifications (PTM), reflecting its modularity and functional plasticity. Here, we combined arrayed peptide matrix screening (PRISMA) with biotin ligase proximity labeling proteomics (BioID) to generate a linear, isoform specific and PTM-dependent protein interaction map of C/EBPα in myeloid cells. The C/EBPα interactome comprises promiscuous and PTM-regulated interactions with protein machineries involved in gene expression, epigenetics, genome organization, DNA replication, RNA processing, and nuclear transport as the basis of functional C/EBPα plasticity. Protein interaction hotspots were identified that coincide with homologous conserved regions of the C/EBP family and revealed interaction motifs that score as molecular recognition features (MoRF). PTMs alter the interaction spectrum of multi-valent C/EBP-motifs to configure a multimodal transcription factor hub that allows interaction with multiple co-regulatory components, including BAF/SWI-SNF or Mediator complexes. Combining PRISMA and BioID acts as a powerful strategy to systematically explore the interactomes of intrinsically disordered proteins and their PTM-regulated, multimodal capacity.Key pointsIntegration of proximity labeling and arrayed peptide screen proteomics refines the interactome of C/EBPα isoformsHotspots of protein interactions in C/EBPα mostly occur in conserved short linear motifsInteractions of the BAF/SWI-SNF complex with C/EBPα are modulated by arginine methylation and isoform statusThe integrated experimental strategy suits systematic interactome studies of intrinsically disordered proteins


2017 ◽  
Vol 40 (1) ◽  
pp. 181-190 ◽  
Author(s):  
Lucas Henriques Viscardi ◽  
Luciana Tovo-Rodrigues ◽  
Pamela Paré ◽  
Nelson Jurandi Rosa Fagundes ◽  
Francisco Mauro Salzano ◽  
...  

1984 ◽  
Vol 31 (1) ◽  
pp. 81-92 ◽  
Author(s):  
R. O. Dendy ◽  
D. Ter Haar

We show what corrections have to be made to the equations of ideal magneto-hydrodynamics when there is fast-time-scale turbulence present in a magnetized plasma. We show how the dispersion relations for the ideal Alfvén and magnetoacoustic MHD normal modes are modified when such turbulence is present. Finally, we discuss the relation of our work to that of other authors.


2011 ◽  
Vol 108 (6) ◽  
pp. 2569-2574 ◽  
Author(s):  
A. Delekate ◽  
M. Zagrebelsky ◽  
S. Kramer ◽  
M. E. Schwab ◽  
M. Korte

2018 ◽  
Vol 12 (1) ◽  
Author(s):  
Bob Strome ◽  
Ian Shenyen Hsu ◽  
Mitchell Li Cheong Man ◽  
Taraneh Zarin ◽  
Alex Nguyen Ba ◽  
...  

1994 ◽  
Vol 230 (1-2) ◽  
pp. 87-92 ◽  
Author(s):  
Masahide Terazima
Keyword(s):  

2005 ◽  
Vol 5 (4) ◽  
Author(s):  
Igor D. Chueshov ◽  
Björn Schmalfuß

AbstractThe averaging method has been used to study random or non-autonomous systems on a fast time scale. We apply this method to a random abstract evolution equation on a fast time scale whose long time behavior can be characterized by a random attractor or a random inertial manifold. The main purpose is to show that the long-time behavior of such a system can be described by a deterministic evolution equation with averaged coefficients. Our first result provides an averaging result on finite time intervals which we use to show that under a dissipativity assumption the attractors of the fast time scale systems are upper semicontinuous when the scaling parameter goes to zero. Our main result deals with a global averaging procedure. Under some spectral gap condition we show that inertial manifolds of the fast time scale system tend to an inertial manifold of the averaged system when the scaling parameter goes to zero. These general results can be applied to semilinear parabolic differential equations containing a scaled ergodic noise on a fast time scale which includes scaled almost periodic motions.


Perception ◽  
10.1068/p3314 ◽  
2002 ◽  
Vol 31 (4) ◽  
pp. 421-434 ◽  
Author(s):  
Jochen Triesch ◽  
Dana H Ballard ◽  
Robert A Jacobs

The integration of information from different sensors, cues, or modalities lies at the very heart of perception. We are studying adaptive phenomena in visual cue integration. To this end, we have designed a visual tracking task, where subjects track a target object among distractors and try to identify the target after an occlusion. Objects are defined by three different attributes (color, shape, size) which change randomly within a single trial. When the attributes differ in their reliability (two change frequently, one is stable), our results show that subjects dynamically adapt their processing. The results are consistent with the hypothesis that subjects rapidly re-weight the information provided by the different cues by emphasizing the information from the stable cue. This effect seems to be automatic, ie not requiring subjects' awareness of the differential reliabilities of the cues. The hypothesized re-weighting seems to take place in about 1 s. Our results suggest that cue integration can exhibit adaptive phenomena on a very fast time scale. We propose a probabilistic model with temporal dynamics that accounts for the observed effect.


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