Adversarial domain translation networks for fast and accurate integration of large-scale atlas-level single-cell datasets

Posted by klaurent UCSD / Salk

Kavli Affiliate: Angela Wu | Authors: Jia Zhao, Gefei Wang, Jingsi Ming, Zhixiang Lin, Yang Wang, The Tabula Microcebus Consortium, Angela Ruohao Wu and Can Yang | Summary: The rapid emergence of large-scale atlas-level single-cell RNA-seq datasets presents remarkable opportunities for broad and deep biological investigations through integrative analyses. However, harmonizing such datasets requires integration […]


Continue.. Adversarial domain translation networks for fast and accurate integration of large-scale atlas-level single-cell datasets

ASD modelling in organoids reveals imbalance of excitatory cortical neuron subtypes during early neurogenesis

Posted by klaurent Yale

Kavli Affiliate: Flora Vaccarino | Authors: Alexandre Jourdon, Feinan Wu, Jessica Mariani, Davide Capauto, Scott Norton, Livia Tomasini, Anahita Amiri, Milovan Suvakov, Jeremy Schreiner, Yeongjun Jang, Cindy Khanh Nguyen, Elise M Cummings, Gloria Han, Kelly Powell, Anna Szekely, James C McPartland, Kevin Pelphrey, Katarzyna Chawarska, Pamela Ventola, Alexej Abyzov and Flora M Vaccarino | Summary: […]


Continue.. ASD modelling in organoids reveals imbalance of excitatory cortical neuron subtypes during early neurogenesis

Persistent postnatal migration of interneurons into the human entorhinal cortex

Posted by klaurent UCSF

Kavli Affiliate: Arturo Alvarez-Buylla | Authors: Marcos Assis Nascimento, Sean Biagiotti, Vicente Herranz-Perez, Raymund Bueno, Chun Jimmie Ye, Taylor Abel, Juan S Rubio Moll, Jose Manuel Garcia-Verdugo, Eric J. Huang, Arturo Alvarez-Buylla and Shawn F Sorrells | Summary: The entorhinal cortex (EC) is a highly-interconnected hub for multisensory integration and memory processing1-3, containing diverse neuronal […]


Continue.. Persistent postnatal migration of interneurons into the human entorhinal cortex

KAT5 activity regulates G0-like states in human gliomas

Posted by klaurent Hopkins

Kavli Affiliate: Jin Kang | Authors: Anca Mihalas, Sonali Arora, Samantha O’Connor, Heather Feldman, John Bassett, Kelly Mitchell, Kang Jin, Pia Hoellerbauer, Melissa Ling, Wesley Jenkins, Megan Kufeld, Philip Corrin, Lucas Carter, Bruce J Aronow, Christopher J Plaisier, Anoop Patel and PATRICK PADDISON | Summary: In solid tumors, G0-like cell populations likely play important roles […]


Continue.. KAT5 activity regulates G0-like states in human gliomas

Synergistic effect of mutations in the Parkinson’s disease-linked endocytic proteins synaptojanin 1 (PARK20) and auxilin (PARK19)

Posted by klaurent Yale

Kavli Affiliate: Pietro DeCamilli | Authors: Xin Yi Ng, Yumei Wu, Youneng Lin, Sidra Mohamed Yaqoob, Lois E. Greene, Pietro De Camilli and Mian Cao | Summary: Parkinson’s disease (PD) is a neurodegenerative disorder characterized by defective dopaminergic (DAergic) input to the striatum. Mutations in two genes encoding synaptically-enriched clathrin-uncoating factors, synaptojanin 1 (SJ1) and […]


Continue.. Synergistic effect of mutations in the Parkinson’s disease-linked endocytic proteins synaptojanin 1 (PARK20) and auxilin (PARK19)

Projective LDDMM: Spatially Reconstructing a Story of Rostrally-Dominant Tau in Alzheimer’s Disease

Posted by klaurent Hopkins, NTNU

Kavli Affiliate: Michael Miller, Susumu Mori, Menno Witter | Authors: Kaitlin Stouffer, Menno Witter, Claire Chen, Eileen Xu, Marilyn Albert, Susumu Mori, Juan Troncoso, Daniel Jacob Tward and Michael Miller | Summary: Since Braak’s initial histological observations, it has been recognized that Alzheimer’s disease (AD) neurofibrillary tangles (NFTs) appear in the medial temporal lobe (MTL) […]


Continue.. Projective LDDMM: Spatially Reconstructing a Story of Rostrally-Dominant Tau in Alzheimer’s Disease

Hypomyelination reduces parvalbumin interneuron density and auditory cortex inhibitory function

Posted by klaurent Hopkins

Kavli Affiliate: Patrick Kanold | Authors: Beatriz C Borges, Xiangying Meng, Patrick Long, Patrick O Kanold and Gabriel Corfas | Summary: For a long time, myelin was thought to be restricted to excitatory neurons, and studies on dysmyelination focused primarily on excitatory cells. Recent evidence showed that axons of inhibitory neurons in the neocortex are […]


Continue.. Hypomyelination reduces parvalbumin interneuron density and auditory cortex inhibitory function

Dissecting neural computations of the human auditory pathway using deep neural networks for speech

Posted by klaurent UCSF

Kavli Affiliate: Edward Chang | Authors: Yuanning Li, Gopala K Anumanchipalli, Abdelrahman Mohamed, Junfeng Lu, Jinsong Wu and Edward F Chang | Summary: The human auditory system extracts rich linguistic abstractions from the speech signal. Traditional approaches to understand this complex process have used classical linear feature encoding models, with limited success. Artificial neural networks […]


Continue.. Dissecting neural computations of the human auditory pathway using deep neural networks for speech

IReNA: integrated regulatory network analysis of single-cell transcriptomes

Posted by klaurent Hopkins

Kavli Affiliate: Seth Blackshaw | Authors: Cjunyao jiang, Pin Lyu, Jinlian Li, Sunan Huang, Seth Blackshaw, Jiang Qian and Jie Wang | Summary: Although single-cell RNA sequencing (scRNA-seq) and single-cell assay for transposase accessible chromatin using sequencing (scATAC-seq) have been widely used, few methods can reliably integrate these data to perform regulatory network analysis. Here, […]


Continue.. IReNA: integrated regulatory network analysis of single-cell transcriptomes

FEMA: Fast and efficient mixed-effects algorithm for population-scale whole brain imaging data

Posted by klaurent UCSD / Salk

Kavli Affiliate: Terry Jernigan, Anders Dale, Wesley Thompson | Authors: Chun Chieh Fan, Clare E Palmer, John Iverson, Diliana Pecheva, Oleksandr Frei, Dominic Holland, Wesley K Thompson, Donald Hagler, Terry L Jernigan, Ole Andreassen, Anders M. Dale and Thomas Nichols | Summary: The linear mixed effects model (LME) is a versatile modeling approach to deal […]


Continue.. FEMA: Fast and efficient mixed-effects algorithm for population-scale whole brain imaging data