Top 10 Biorxiv Papers Today


2.368 Mikeys
#1. Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution
Xiao Fan, Jia Wang, Xing Zhang, Zi Yang, Jin-Can Zhang, Lingyun Zhao, Hai-Lin Peng, Jianlin Lei, Hong-Wei Wang
The fast development of single particle cryo-EM has made it more feasible to obtain the 3D structure of well-behaved macromolecules with molecular weight higher than 300 kDa at ~3 √Ö resolution. It remains a challenge to obtain high resolution structure of molecules smaller than 100 kDa using single particle cryo-EM, mainly due to the low contrast of the molecules embedded in vitreous ice. In this work, we applied the Cs-corrector-VPP coupled cryo-EM to study 52 kDa streptavidin (SA) protein supported on a thin layer of graphene film and embedded in vitreous ice. We were able to solve both the apo-SA and biotin-bound SA at near-atomic resolution using single particle cryo-EM. We demonstrated that the method is capable to determine the structure of molecule as small as 39 kDa and potentially even smaller molecules. Furthermore, we found that using the graphene film to avoid the adsorption to the air-water interface is critical to maintain the protein's high-resolution structural information.
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EdoardoDImprima: @DmitryLyumkis It seems so (https://t.co/ChIeUR7E8Q) thanks to @OliBClarke to point it out. However, they somehow gloss over how precisely they prepared the grids.
JGarciaNafria: Keeps getting smaller and smaller...https://t.co/l8SFvH6w71
FelipeIMerino: The smallest protein structure solved by #cryoEM to near-atomic resolution, support layer and all. ūüĎá https://t.co/i7QX28NyYt
cryoEM_Papers: Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution https://t.co/WztVV1qRk1
cryoET: Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution https://t.co/j4svVaOLKF
HattoriM: RT @biorxiv_biophys: Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution https://t.co/YFT7wHPwEf #bio…
DanielHurdiss: RT @biorxiv_biophys: Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution https://t.co/YFT7wHPwEf #bio…
PoulNissen: RT @biorxiv_biophys: Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution https://t.co/YFT7wHPwEf #bio…
Paulino_Lab: RT @biorxiv_biophys: Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution https://t.co/YFT7wHPwEf #bio…
BJ_Greber: RT @biorxiv_biophys: Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution https://t.co/YFT7wHPwEf #bio…
OliBClarke: RT @biorxiv_biophys: Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution https://t.co/YFT7wHPwEf #bio…
fronzes_lab: RT @biorxiv_biophys: Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution https://t.co/YFT7wHPwEf #bio…
RuiZhangWUSTL: RT @biorxiv_biophys: Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution https://t.co/YFT7wHPwEf #bio…
t2438: RT @biorxiv_biophys: Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution https://t.co/YFT7wHPwEf #bio…
voorheeslab: RT @biorxiv_biophys: Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution https://t.co/YFT7wHPwEf #bio…
analioj: RT @biorxiv_biophys: Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution https://t.co/YFT7wHPwEf #bio…
moncourvoisier: RT @biorxiv_biophys: Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution https://t.co/YFT7wHPwEf #bio…
xjtuhw: RT @biorxiv_biophys: Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution https://t.co/YFT7wHPwEf #bio…
arshukla: RT @biorxivpreprint: Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution https://t.co/qE69CkVeLp #bio…
KwiatBerlin: RT @biorxiv_biophys: Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution https://t.co/YFT7wHPwEf #bio…
bwfalcon: RT @biorxiv_biophys: Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution https://t.co/YFT7wHPwEf #bio…
LourduXavier14: RT @biorxiv_biophys: Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution https://t.co/YFT7wHPwEf #bio…
MartaUkleja: RT @biorxiv_biophys: Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution https://t.co/YFT7wHPwEf #bio…
tofayel_ahmed1: RT @biorxiv_biophys: Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution https://t.co/YFT7wHPwEf #bio…
DebnathGhosal: RT @biorxiv_biophys: Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution https://t.co/YFT7wHPwEf #bio…
CostaT_Lab: RT @biorxiv_biophys: Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution https://t.co/YFT7wHPwEf #bio…
ktr_nakanishi: RT @biorxiv_biophys: Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution https://t.co/YFT7wHPwEf #bio…
MitosisLab: RT @biorxiv_biophys: Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution https://t.co/YFT7wHPwEf #bio…
danengw: RT @biorxiv_biophys: Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution https://t.co/YFT7wHPwEf #bio…
ribo_doc: RT @biorxiv_biophys: Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution https://t.co/YFT7wHPwEf #bio…
MarionPesenti: RT @cryoEM_Papers: Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution https://t.co/WztVV1qRk1
scidave: RT @biorxivpreprint: Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution https://t.co/qE69CkVeLp #bio…
clmpnino: RT @cryoET: Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution https://t.co/j4svVaOLKF
biofiziksmama: RT @biorxiv_biophys: Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution https://t.co/YFT7wHPwEf #bio…
TommiAWhite: RT @biorxiv_biophys: Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution https://t.co/YFT7wHPwEf #bio…
M_Hospenthal: RT @biorxiv_biophys: Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution https://t.co/YFT7wHPwEf #bio…
MGordonJoyce: RT @biorxiv_biophys: Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution https://t.co/YFT7wHPwEf #bio…
GaneshaPitchai: RT @biorxiv_biophys: Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution https://t.co/YFT7wHPwEf #bio…
The_Mbu: RT @biorxiv_biophys: Single particle cryo-EM reconstruction of 52 kDa streptavidin at 3.2 Angstrom resolution https://t.co/YFT7wHPwEf #bio…
matrappas: RT @JGarciaNafria: Keeps getting smaller and smaller...https://t.co/l8SFvH6w71
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Authors: 9
Total Words: 8252
Unqiue Words: 2110

2.088 Mikeys
#2. From spatio-temporal morphogenetic gradients to rhythmic patterning at the shoot apex
Carlos Samuel Galvan-Ampudia, Guillaume Cerutti, Jonathan Legrand, Romain Azais, Géraldine Brunoud, Steven Moussu, Christian Wenzl, Jan Lohmann, Christophe Godin, Teva Vernoux
A key question in developmental biology is how morphogenetic regulators control patterning. Recent findings have raised an important question: do morphogenetic signals carry information not only in space, as originally proposed in the morphogen concept, but also in time? The hormone auxin is an essential plant morphogenetic regulator that drives rhythmic organogenesis at the shoot apical meristem. Here, we used a quantitative imaging approach to map auxin distribution and response. We demonstrate the existence of high-definition spatio-temporal auxin distribution in the meristem. We provide evidence that developing organs are auxin-emitting centers that could allow self-sustained distribution of auxin through a structured auxin transport network converging on the meristem center. We finally demonstrate that regulation of histone acetylation allows cells to measure the duration of the exposition to auxin preceding organ initiation, providing a remarkable example of how both spatial and temporal morphogenetic information generates...
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biorxivpreprint: From spatio-temporal morphogenetic gradients to rhythmic patterning at the shoot apex https://t.co/Bu5MM6L9HH #bioRxiv
biorxiv_plants: From spatio-temporal morphogenetic gradients to rhythmic patterning at the shoot apex https://t.co/QLoWBlqtcQ #biorxiv_plants
teva_vernoux: All you wanted to know about the dynamics of auxin in the shoot apical meristem and the global regulation of auxin responses: https://t.co/csgQiuBuhP and https://t.co/7qDSxXZoAH ; excellent collaboration with @Meristemania
Zedulias: RT @biorxiv_plants: From spatio-temporal morphogenetic gradients to rhythmic patterning at the shoot apex https://t.co/QLoWBlqtcQ #biorxiv…
Andrea_AGF89: RT @biorxiv_plants: From spatio-temporal morphogenetic gradients to rhythmic patterning at the shoot apex https://t.co/QLoWBlqtcQ #biorxiv…
Lo28321839: RT @biorxiv_plants: From spatio-temporal morphogenetic gradients to rhythmic patterning at the shoot apex https://t.co/QLoWBlqtcQ #biorxiv…
MatthieuPlatre: RT @biorxiv_plants: From spatio-temporal morphogenetic gradients to rhythmic patterning at the shoot apex https://t.co/QLoWBlqtcQ #biorxiv…
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Sample Sizes : [3045, 1895, 3378, 5621, 42991, 6003, 69, 21]
Authors: 10
Total Words: 24504
Unqiue Words: 4458

2.075 Mikeys
#3. The strength of protein-protein interactions controls the information capacity and dynamical response of signaling networks
Ching-Hao Wang, Caleb J. Bashor, Pankaj Mehta
Eukaryotic cells transmit information by signaling through complex networks of interacting proteins. Here we develop a theoretical and computational framework that relates the biophysics of protein-protein interactions (PPIs) within a signaling network to its information processing properties. To do so, we generalize statistical physics-inspired models for protein binding to account for interactions that depend on post-translational state (e.g. phosphorylation). By combining these models with information-theoretic methods, we find that PPIs are a key determinant of information transmission within a signaling network, with weak interactions giving rise to "noise" that diminishes information transmission. While noise can be mitigated by increasing interaction strength, the accompanying increase in transmission comes at the expense of a slower dynamical response. This suggests that the biophysics of signaling protein interactions give rise to a fundamental "speed-information" trade-off. Surprisingly, we find that cross-talk between...
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biorxivpreprint: The strength of protein-protein interactions controls the information capacity and dynamical response of signaling networks https://t.co/IKIkrgSgmZ #bioRxiv
Jeew333T: We conclude by showing how our framework "InfoMax" can be used to design synthetic biochemical networks that maximize information transmission https://t.co/2D1nfoQhCH
biorxiv_sysbio: The strength of protein-protein interactions controls the information capacity and dynamical response of signaling networks https://t.co/zYMVqkV2cd #biorxiv_sysbio
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Repository: InfomaxDesign
User: chinghao0703
Language: Matlab
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Sample Sizes : [2, 5, 2, 5, 2, 3, 4, 5, 2, 5]
Authors: 3
Total Words: 13426
Unqiue Words: 3129

2.073 Mikeys
#4. Memory in trait macroevolution
Emma E Goldberg, Jasmine Foo
The history of a trait within a lineage may influence its future evolutionary trajectory, but macroevolutionary theory of this process is not well developed. For example, consider the simple binary trait of living in cave versus surface habitat. The longer a species has been cave-dwelling, the more may accumulated loss of vision, pigmentation, and defense restrict future adaptation if the species encounters the surface environment. However, the Markov model of discrete trait evolution that is widely adopted in phylogenetics does not allow the rate of cave-to-surface transition to decrease with longer duration as a cave-dweller. Here, we describe three models of evolution that remove this 'memory-less' constraint, using a renewal process to generalize beyond the typical Poisson process of discrete trait macroevolution. We then show how the two-state renewal process can be used for inference, and we investigate the potential of phylogenetic comparative data to reveal different influences of trait duration, or 'memory' in trait...
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biorxivpreprint: Memory in trait macroevolution https://t.co/msz5es4fa1 #bioRxiv
biorxiv_evobio: Memory in trait macroevolution https://t.co/7LTIHb2Cvj #biorxiv_evobio
fsantini2015: Memory in trait macroevolution https://t.co/r7NHFLxZIB https://t.co/suuwhs5kFH
Lepidodendron: Very interesting preprint. Is trait evolution non-markovian? Now we can test it! https://t.co/t3vaxk4mEd
ajhelmstetter: Preprint now out! https://t.co/ftOW9ZqJ1P https://t.co/3QuzjaotuM
Scoobiefoo: New paper, with Emma E. Goldberg: Memory in trait macroevolution https://t.co/vDLtdtUTbV
BESMacroecol: RT @ajhelmstetter: Preprint now out! https://t.co/ftOW9ZqJ1P https://t.co/3QuzjaotuM
BESMacroecol: RT @Lepidodendron: Very interesting preprint. Is trait evolution non-markovian? Now we can test it! https://t.co/t3vaxk4mEd
mtanichthys: RT @biorxivpreprint: Memory in trait macroevolution https://t.co/msz5es4fa1 #bioRxiv
juvelas: RT @ajhelmstetter: Preprint now out! https://t.co/ftOW9ZqJ1P https://t.co/3QuzjaotuM
hsauquet_rbgsyd: RT @Lepidodendron: Very interesting preprint. Is trait evolution non-markovian? Now we can test it! https://t.co/t3vaxk4mEd
jason_nge: RT @Lepidodendron: Very interesting preprint. Is trait evolution non-markovian? Now we can test it! https://t.co/t3vaxk4mEd
oconned5: RT @ajhelmstetter: Preprint now out! https://t.co/ftOW9ZqJ1P https://t.co/3QuzjaotuM
kk_matsunaga: RT @Lepidodendron: Very interesting preprint. Is trait evolution non-markovian? Now we can test it! https://t.co/t3vaxk4mEd
javi_igea: RT @ajhelmstetter: Preprint now out! https://t.co/ftOW9ZqJ1P https://t.co/3QuzjaotuM
JesusNPL: RT @ajhelmstetter: Preprint now out! https://t.co/ftOW9ZqJ1P https://t.co/3QuzjaotuM
RagoVago: RT @ajhelmstetter: Preprint now out! https://t.co/ftOW9ZqJ1P https://t.co/3QuzjaotuM
luizebg: RT @Lepidodendron: Very interesting preprint. Is trait evolution non-markovian? Now we can test it! https://t.co/t3vaxk4mEd
InostrozaMich: RT @Lepidodendron: Very interesting preprint. Is trait evolution non-markovian? Now we can test it! https://t.co/t3vaxk4mEd
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Total Words: 13241
Unqiue Words: 2892

2.068 Mikeys
#5. Rational reprogramming of cellular states by combinatorial perturbation
Jialei Duan, Boxun Li, Minoti Bhakta, Shiqi Xie, Pei Zhou, Nikhil Munshi, Gary Hon
Ectopic expression of transcription factors (TFs) can reprogram cell state. However, due to the large combinatorial space of possible TF cocktails, it remains difficult to identify TFs that reprogram specific cell types. Here, we develop Reprogram-Seq to experimentally screen thousands of TF cocktails for reprogramming performance. Reprogram-Seq leverages organ-specific cell atlas data with single-cell perturbation and computational analysis to predict, evaluate, and optimize TF combinations that reprogram a cell type of interest. Focusing on the cardiac system, we perform Reprogram-Seq on MEFs using an undirected library of 48 cardiac factors and separately on a directed library of 10 epicardial-related TFs. We identify a novel combination of 3 TFs which efficiently reprogram MEFs to epicardial-like cells that are transcriptionally, molecularly, morphologically, and functionally similar to primary epicardial cells. Reprogram-Seq holds promise to accelerate the generation of specific cell types for regenerative medicine.
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biorxivpreprint: Rational reprogramming of cellular states by combinatorial perturbation https://t.co/2l961ZgWEH #bioRxiv
biorxiv_genomic: Rational reprogramming of cellular states by combinatorial perturbation https://t.co/OAASQGHz0w #biorxiv_genomic
YSPTSPS: Rational reprogramming of cellular states by combinatorial perturbation | bioRxiv https://t.co/1eBdKUlk0y
timoast: Rational reprogramming of cellular states by combinatorial perturbation from @hon_lab: predict, evaluate, and optimize TF combinations that reprogram a cell type of interest https://t.co/A8Zp87bt9X
hon_lab: https://t.co/noGRjZ8b3r Excited to share our latest work. Rational reprogramming of cellular states by combinatorial perturbation. Fun project and awesome collaboration with Nik Munshi. @BoxunLincolnLi @jlduan @CRSM_UTSW
bloodandtime1: 'Unbiased' single cell screening for in vitro direct conversions with TF libraries. This technology does not eliminate the need to build and curate a library of candidate TFs, but streamlines downstream readouts. https://t.co/fRak1BGbkE
generegulation: RT @hon_lab: https://t.co/noGRjZ8b3r Excited to share our latest work. Rational reprogramming of cellular states by combinatorial perturbat…
dkjhaunc: RT @YSPTSPS: Rational reprogramming of cellular states by combinatorial perturbation | bioRxiv https://t.co/1eBdKUlk0y
successprocess: RT @hon_lab: https://t.co/noGRjZ8b3r Excited to share our latest work. Rational reprogramming of cellular states by combinatorial perturbat…
steinaerts: RT @hon_lab: https://t.co/noGRjZ8b3r Excited to share our latest work. Rational reprogramming of cellular states by combinatorial perturbat…
Alexis_Lomakin: RT @YSPTSPS: Rational reprogramming of cellular states by combinatorial perturbation | bioRxiv https://t.co/1eBdKUlk0y
dbgoodman: RT @hon_lab: https://t.co/noGRjZ8b3r Excited to share our latest work. Rational reprogramming of cellular states by combinatorial perturbat…
SBLabUCSF: RT @hon_lab: https://t.co/noGRjZ8b3r Excited to share our latest work. Rational reprogramming of cellular states by combinatorial perturbat…
o_ursu: RT @hon_lab: https://t.co/noGRjZ8b3r Excited to share our latest work. Rational reprogramming of cellular states by combinatorial perturbat…
DavidPCook: RT @hon_lab: https://t.co/noGRjZ8b3r Excited to share our latest work. Rational reprogramming of cellular states by combinatorial perturbat…
JianXuLab: RT @hon_lab: https://t.co/noGRjZ8b3r Excited to share our latest work. Rational reprogramming of cellular states by combinatorial perturbat…
stranddw: RT @hon_lab: https://t.co/noGRjZ8b3r Excited to share our latest work. Rational reprogramming of cellular states by combinatorial perturbat…
SandraOrtizCua: RT @hon_lab: https://t.co/noGRjZ8b3r Excited to share our latest work. Rational reprogramming of cellular states by combinatorial perturbat…
ian_mellis: RT @hon_lab: https://t.co/noGRjZ8b3r Excited to share our latest work. Rational reprogramming of cellular states by combinatorial perturbat…
DavidDeGraff5: RT @hon_lab: https://t.co/noGRjZ8b3r Excited to share our latest work. Rational reprogramming of cellular states by combinatorial perturbat…
vincentpasque: RT @hon_lab: https://t.co/noGRjZ8b3r Excited to share our latest work. Rational reprogramming of cellular states by combinatorial perturbat…
rallanlab: RT @hon_lab: https://t.co/noGRjZ8b3r Excited to share our latest work. Rational reprogramming of cellular states by combinatorial perturbat…
PeterLyLab: RT @hon_lab: https://t.co/noGRjZ8b3r Excited to share our latest work. Rational reprogramming of cellular states by combinatorial perturbat…
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Total Words: 15201
Unqiue Words: 3544

2.058 Mikeys
#6. Ensembles from ordered and disordered proteins reveal similar structural constraints during evolution
Julia Marchetti, Alexander Monzon, Silvio C.E. Tosatto, Gustavo Parisi, Maria Silvina Fornasari
Inter-residue contacts determine the structural properties for each conformer in the ensembles describing the native state of proteins. Structural constraints during evolution could then provide biologically relevant information about the conformational ensembles and their relationship with protein function. Here, we studied the proportion of sites evolving under structural constraints in two very different types of ensembles, those coming from ordered or disordered proteins. Using a structurally constrained model of protein evolution we found that both types of ensembles show comparable, near 40%, number of positions evolving under structural constraints. Among these sites, ~68% are in disordered regions and ~57% of them show long-range inter-residue contacts. Also, we found that disordered ensembles are redundant in reference to their structurally constrained evolutionary information and could be described on average with ~11 conformers. Despite the different complexity of the studied ensembles and proteins, the similar...
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biorxivpreprint: Ensembles from ordered and disordered proteins reveal similar structural constraints during evolution https://t.co/NjVK9QzoXb #bioRxiv
biorxiv_bioinfo: Ensembles from ordered and disordered proteins reveal similar structural constraints during evolution https://t.co/72dX9NUmHC #biorxiv_bioinfo
AlexanderMonzon: Look at our latest pre-print about "Ensembles from ordered and disordered proteins reveal similar structural constraints during evolution" #proteindisorder #ensembles #evolution https://t.co/zQN8XYVRvl
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2.057 Mikeys
#7. Statistically consistent divide-and-conquer pipelines for phylogeny estimation using NJMerge
Erin K. Molloy, Tandy Warnow
Background: Divide-and-conquer methods, which divide the species set into overlapping subsets, construct a tree on each subset, and then combine the subset trees using a supertree method, provide a key algorithmic framework for boosting the scalability of phylogeny estimation methods to large datasets. Yet the use of supertree methods, which typically attempt to solve NP-hard optimization problems, limits the scalability of such approaches. Results: In this paper, we introduce a divide-and-conquer approach that does not require supertree estimation: we divide the species set into pairwise disjoint subsets, construct a tree on each subset using a base method, and then combine the subset trees using a distance matrix. For this merger step, we present a new method, called NJMerge, which is a polynomial-time extension of Neighbor Joining (NJ); thus, NJMerge can be viewed either as a method for improving traditional NJ or as a method for scaling the base method to larger datasets. We prove that NJMerge can be used to create...
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A tool for divide-and-conquer tree estimation via a shared distance matrix

Repository: njmerge
User: ekmolloy
Language: Python
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Total Words: 13597
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2.055 Mikeys
#8. Dissociation of fear initiation and maintenance by breathing-driven prefrontal oscillations
Sophie Bagur, Julie M Lefort, Marie M Lacroix, Gaetan de Lavilleon, Cyril Herry, Clara Billand, Helene Geoffroy, Karim Benchenane
Does the body play an active role in emotions? Since the original James/Cannon controversy this debate has mainly been fueled by introspective accounts of human experience. Here, we use the animal model to demonstrate a physiological mechanism for bodily feedback and its causal role in the stabilization of emotional states. We report that during fear-related freezing mice breathe at 4Hz and show, using probabilistic modelling, that optogenetic perturbation of this feedback specifically reduces freezing maintenance without impacting its initiation. This rhythm is transmitted by the olfactory bulb to the prefrontal cortex where it organizes neural firing and optogenetic probing of the circuit demonstrates frequency-specific tuning that maximizes prefrontal cortex responsivity at 4Hz, the breathing frequency during freezing. These results point to a brain-body-brain loop in which the initiation of emotional behavior engenders somatic changes which then feedback to the cortex to directly participate in sustaining emotional states.
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biorxivpreprint: Dissociation of fear initiation and maintenance by breathing-driven prefrontal oscillations https://t.co/WNu1mbHQrd #bioRxiv
biorxiv_neursci: Dissociation of fear initiation and maintenance by breathing-driven prefrontal oscillations https://t.co/nPmqYY8PS2 #biorxiv_neursci
DebiecJacek: Breathing-driven 4HZ rhythm, transmitted by the olfactory bulb to the prefrontal cortex where it organizes oscillations, is critical for the maintenance but not initiation of freezing behavior in mice. https://t.co/0fRs2eJniZ
Bench_K: Probably the study I am the most proud of... "Dissociation of fear initiation and maintenance by breathing-driven prefrontal oscillations" https://t.co/eOmLB5hxpw
MicTott: Breathing-driven 4 Hz prefrontal oscillations are critical for the maintenance, but not initiation, of freezing behavior. Really cool work, and beautifully written! https://t.co/IXmcA9dtd1
neuroconscience: RT @biorxiv_neursci: Dissociation of fear initiation and maintenance by breathing-driven prefrontal oscillations https://t.co/nPmqYY8PS2 #…
hugospiers: RT @biorxivpreprint: Dissociation of fear initiation and maintenance by breathing-driven prefrontal oscillations https://t.co/WNu1mbHQrd #…
JstMathieu: https://t.co/uINbRWlv7d
CERE_Emotion: RT @biorxiv_neursci: Dissociation of fear initiation and maintenance by breathing-driven prefrontal oscillations https://t.co/nPmqYY8PS2 #…
CERE_Emotion: RT @biorxivpreprint: Dissociation of fear initiation and maintenance by breathing-driven prefrontal oscillations https://t.co/WNu1mbHQrd #…
CNSorg: RT @biorxiv_neursci: Dissociation of fear initiation and maintenance by breathing-driven prefrontal oscillations https://t.co/nPmqYY8PS2 #…
Umasi1981: RT @biorxiv_neursci: Dissociation of fear initiation and maintenance by breathing-driven prefrontal oscillations https://t.co/nPmqYY8PS2 #…
Bench_K: RT @biorxiv_neursci: Dissociation of fear initiation and maintenance by breathing-driven prefrontal oscillations https://t.co/nPmqYY8PS2 #…
NeuroSyntheSys: RT @biorxivpreprint: Dissociation of fear initiation and maintenance by breathing-driven prefrontal oscillations https://t.co/WNu1mbHQrd #…
Divorytaur: RT @biorxiv_neursci: Dissociation of fear initiation and maintenance by breathing-driven prefrontal oscillations https://t.co/nPmqYY8PS2 #…
HiroTaiyoHamada: RT @biorxiv_neursci: Dissociation of fear initiation and maintenance by breathing-driven prefrontal oscillations https://t.co/nPmqYY8PS2 #…
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Authors: 8
Total Words: 10893
Unqiue Words: 3088

2.051 Mikeys
#9. Biobank-wide association scan identifies risk factors for late-onset Alzheimer's disease and endophenotypes
Donghui Yan, Bowen Hu, Burcu F. Darst, Shubhabrata Mukherjee, Brian W. Kunkle, Yuetiva Deming, Logan Dumitrescu, Yunling Wang, Adam Naj, Amanda Kuzma, Yi Zhao, Hyunseung Kang, Sterling C. Johnson, Carlos Cruchaga, Timothy J. Hohman, Paul Crane, Corinne D. Engelman, Alzheimer's Disease Genetics Consortium, Qiongshi Lu
Dense genotype data and thousands of phenotypes from large biobanks, coupled with increasingly accessible summary association statistics from genome-wide association studies (GWAS), provide great opportunities to dissect the complex relationships among human traits and diseases. We introduce BADGERS, a powerful method to perform polygenic score-based biobank-wide scans for disease-trait associations. Compared to traditional regression approaches, BADGERS uses GWAS summary statistics as input and does not require multiple traits to be measured on the same cohort. We applied BADGERS to two independent datasets for Alzheimer's disease (AD; N=61,212). Among the polygenic risk scores (PRS) for 1,738 traits in the UK Biobank, we identified 48 significant trait PRSs associated with AD after adjusting for multiple testing. Family history, high cholesterol, and numerous traits related to intelligence and education showed strong and independent associations with AD. Further, we identified 41 significant PRSs associated with AD...
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westr: Biobank-wide association scan identifies risk factors for late-onset #Alzheimer's disease and endophenotypes https://t.co/KFfTEgdj6K @uk_biobank #PM101 #PRS Family history and high cholesterol are the downers, but may be bufffered by high educational achievement and cognition.
biorxivpreprint: Biobank-wide association scan identifies risk factors for late-onset Alzheimer's disease and endophenotypes https://t.co/3swrBcQSa7 #bioRxiv
GWAS_lit: Biobank-wide association scan identifies risk factors for late-onset Alzheimer's disease and endophenotypes https://t.co/3lvweHXb9V https://t.co/iD8vY26Vsd
jorsmo: "We introduce BADGERS, a powerful method to perform polygenic score-based biobank-wide scans for disease-trait associations." Biobank-wide association scan identifies risk factors for late-onset Alzheimer's disease and endophenotypes https://t.co/DU2KVeEpUP
biorxiv_genetic: Biobank-wide association scan identifies risk factors for late-onset Alzheimer's disease and endophenotypes https://t.co/SJ8G3wX16X #biorxiv_genetic
gwcarter: Adjusting my afternoon plans to include more cheese intake https://t.co/8a29Wwbicr
Q_StatGen: New preprint from us! We introduce BADGERS (guess I'm a true Wisconsinian now), a method for PRS-based biobank-wide association scans using GWAS sumstats. One of our leading authors Donghui Yan is an undergrad(!). Don't miss his grad school application! https://t.co/9bQ4LBHpYu
amapeters: @BlairBraverman the dogs are onto something. See figure 2. Cheese intake negatively correlated with Alzheimer‚Äôs risk. Why they are so smart ūüėÄūüź∂ https://t.co/EgjAVE2BH5
JEMgenes: Biobank-wide association scan identifies risk factors for late-onset Alzheimer's disease and endophenotypes https://t.co/scIw73GqI2
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Repository: BADGERS
User: qlu-lab
Language: Python
Stargazers: 0
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Sample Sizes : [61212, 54162, 836, 387, 803]
Authors: 19
Total Words: 10125
Unqiue Words: 2694

2.039 Mikeys
#10. Bipolar multiplex families have an increased burden of common risk variants for psychiatric disorders
Till F. M. Andlauer, Jose Guzman-Parra, Fabian Streit, Jana Strohmaier, Maria Jose Gonzalez, Susana Gil Flores, Francisco J. Cabaleiro Fabeiro, Francisco del Rio Noriega, Fermin Perez Perez, Jesus Haro Gonzalez, Guillermo Orozco Diaz, Georg Auburger, Franziska Degenhardt, Stefanie Heilmann-Heimbach, Stefan Herms, Per Hoffmann, Josef Frank, Jerome Clifford Foo, Jens Treutlein, Stephanie H. Witt, Sven Cichon, Manolis Kogevinas, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Fabio Rivas, Fermin Mayoral, Bertram Mueller-Myhsok, Andreas J Forstner, Markus Noethen, Marcella Rietschel
Multiplex families with a high prevalence of a psychiatric disorder are often examined to identify rare genetic variants with large effect sizes. In the present study, we analysed whether the risk for bipolar disorder (BD) in BD multiplex families is influenced by common genetic variants. Furthermore, we investigated whether this risk is conferred mainly by BD-specific risk variants or by variants also associated with the susceptibility to schizophrenia or major depression. In total, 395 individuals from 33 Andalusian BD multiplex families as well as 438 subjects from an independent, sporadic BD case-control cohort were analysed. Polygenic risk scores (PRS) for BD, schizophrenia, and major depression were calculated and compared between the cohorts. Both the familial BD cases and unaffected family members had significantly higher PRS for all three psychiatric disorders than the independent controls, suggesting a high baseline risk for several psychiatric disorders in the families. Moreover, familial BD cases showed significantly...
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biorxivpreprint: Bipolar multiplex families have an increased burden of common risk variants for psychiatric disorders https://t.co/ZzdBp7RUM7 #bioRxiv
WiringTheBrain: Bipolar multiplex families have an increased burden of common risk variants for psychiatric disorders https://t.co/HRsbqXbJPn https://t.co/DWVLnh9NYP
cathrynlewis: Welcome to @f_streit as an newly active tweeter. Fabian is a key researcher in the @PGCgenetics MDD group and highly productive in the BOMA studies. Read his latest pre-print here https://t.co/GbHbuxCGma
biorxiv_genetic: Bipolar multiplex families have an increased burden of common risk variants for psychiatric disorders https://t.co/HSd0OfOawj #biorxiv_genetic
MaryRuberry: Bipolar multiplex families have an increased burden of common risk variants for psychiatric disorders #BD #bipolar https://t.co/L2WyblRR2c
f_streit: New preprint out, showing polygenic risk for psychiatric disorders is increased in bipolar multiplex families #pgcgenetics https://t.co/dCWo8acmIm
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Sample Sizes : [151, 166, 78, 166, 78, 145]
Authors: 30
Total Words: 7921
Unqiue Words: 2232

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