Challenges of Organoid Research

2022 ◽  
Vol 45 (1) ◽  
Author(s):  
Madeline G. Andrews ◽  
Arnold R. Kriegstein
Keyword(s):  
Human Brain ◽  
Neurological Diseases ◽  
3D Cell Culture ◽  
Cell Types ◽  
Annual Review ◽  
Publication Date ◽  
Human Brain Tissue ◽  
Scientific Advance ◽  
Tissue Organization ◽  
Genetic Features

Organoids are 3D cell culture systems derived from human pluripotent stem cells that contain tissue resident cell types and reflect features of early tissue organization. Neural organoids are a particularly innovative scientific advance given the lack of accessibility of developing human brain tissue and intractability of neurological diseases. Neural organoids have become an invaluable approach to model features of human brain development that are not well reflected in animal models. Organoids also hold promise for the study of atypical cellular, molecular, and genetic features that underscore neurological diseases. Additionally, organoids may provide a platform for testing therapeutics in human cells and are a potential source for cell replacement approaches to brain injury or disease. Despite the promising features of organoids, their broad utility is hampered by a variety of limitations, including lack of high-fidelity cell types, limited maturation, atypical physiology, and lack of arealization, features that may limit their reliability for certain applications. Expected final online publication date for the Annual Review of Neuroscience, Volume 45 is July 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Spatial Transcriptomics: Molecular Maps of the Mammalian Brain

2021 ◽  
Vol 44 (1) ◽  
Author(s):  
Cantin Ortiz ◽  
Marie Carlén ◽  
Konstantinos Meletis
Keyword(s):  
Nervous System ◽  
Molecular Classification ◽  
Cell Types ◽  
Brain Regions ◽  
Mammalian Brain ◽  
Annual Review ◽  
Publication Date ◽  
Common Reference ◽  
Tissue Organization ◽  
Definition Of

Maps of the nervous system inspire experiments and theories in neuroscience. Advances in molecular biology over the past decades have revolutionized the definition of cell and tissue identity. Spatial transcriptomics has opened up a new era in neuroanatomy, where the unsupervised and unbiased exploration of the molecular signatures of tissue organization will give rise to a new generation of brain maps. We propose that the molecular classification of brain regions on the basis of their gene expression profile can circumvent subjective neuroanatomical definitions and produce common reference frameworks that can incorporate cell types, connectivity, activity, and other modalities. Here we review the technological and conceptual advances made possible by spatial transcriptomics in the context of advancing neuroanatomy and discuss how molecular neuroanatomy can redefine mapping of the nervous system. Expected final online publication date for the Annual Review of Neuroscience, Volume 44 is July 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Pathogenic Mechanisms Underlying Idiopathic Pulmonary Fibrosis

2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Benjamin J. Moss ◽  
Stefan W. Ryter ◽  
Ivan O. Rosas
Keyword(s):  
Epithelial Cell ◽  
Idiopathic Pulmonary Fibrosis ◽  
Pulmonary Fibrosis ◽  
Cell Activation ◽  
Alveolar Epithelial Cell ◽  
Cell Types ◽  
Annual Review ◽  
Publication Date ◽  
Metabolic Dysfunction ◽  
Epithelial Repair

The pathogenesis of idiopathic pulmonary fibrosis (IPF) involves a complex interplay of cell types and signaling pathways. Recurrent alveolar epithelial cell (AEC) injury may occur in the context of predisposing factors (e.g., genetic, environmental, epigenetic, immunologic, and gerontologic), leading to metabolic dysfunction, senescence, aberrant epithelial cell activation, and dysregulated epithelial repair. The dysregulated epithelial cell interacts with mesenchymal, immune, and endothelial cells via multiple signaling mechanisms to trigger fibroblast and myofibroblast activation. Recent single-cell RNA sequencing studies of IPF lungs support the epithelial injury model. These studies have uncovered a novel type of AEC with characteristics of an aberrant basal cell, which may disrupt normal epithelial repair and propagate a profibrotic phenotype. Here, we review the pathogenesis of IPF in the context of novel bioinformatics tools as strategies to discover pathways of disease, cell-specific mechanisms, and cell-cell interactions that propagate the profibrotic niche. Expected final online publication date for the Annual Review of Pathology: Mechanisms of Disease, Volume 17 is January 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Aging of the Retina: Molecular and Metabolic Turbulences and Potential Interventions

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Laura Campello ◽  
Nivedita Singh ◽  
Jayshree Advani ◽  
Anupam K. Mondal ◽  
Ximena Corso-Diaz ◽  
...  
Keyword(s):  
Healthy Aging ◽  
Cell Types ◽  
Lifestyle Changes ◽  
Annual Review ◽  
Past Century ◽  
Publication Date ◽  
Vision Science ◽  
Human Lifespan ◽  
Cellular Events ◽  
Age Related

Multifaceted and divergent manifestations across tissues and cell types have curtailed advances in deciphering the cellular events that accompany advanced age and contribute to morbidities and mortalities. Increase in human lifespan during the past century has heightened awareness of the need to prevent age-associated frailty of neuronal and sensory systems to allow a healthy and productive life. In this review, we discuss molecular and physiological attributes of aging of the retina, with a goal of understanding age-related impairment of visual function. We highlight the epigenome–metabolism nexus and proteostasis as key contributors to retinal aging and discuss lifestyle changes as potential modulators of retinal function. Finally, we deliberate promising intervention strategies for promoting healthy aging of the retina for improved vision. Expected final online publication date for the Annual Review of Vision Science, Volume 7 is September 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

scholarly journals Integrated Patterning Programs During Drosophila Development Generate the Diversity of Neurons and Control Their Mature Properties

2021 ◽  
Vol 44 (1) ◽  
Author(s):  
Anthony M. Rossi ◽  
Shadi Jafari ◽  
Claude Desplan
Keyword(s):  
Stem Cells ◽  
Nervous System ◽  
Neural Stem Cells ◽  
Cell Types ◽  
Annual Review ◽  
Publication Date ◽  
Temporal Patterning ◽  
Long Time ◽  
Neuronal Types ◽  
And Control

During the approximately 5 days of Drosophila neurogenesis (late embryogenesis to the beginning of pupation), a limited number of neural stem cells produce approximately 200,000 neurons comprising hundreds of cell types. To build a functional nervous system, neuronal types need to be produced in the proper places, appropriate numbers, and correct times. We discuss how neural stem cells (neuroblasts) obtain so-called area codes for their positions in the nervous system (spatial patterning) and how they keep time to sequentially produce neurons with unique fates (temporal patterning). We focus on specific examples that demonstrate how a relatively simple patterning system (Notch) can be used reiteratively to generate different neuronal types. We also speculate on how different modes of temporal patterning that operate over short versus long time periods might be linked. We end by discussing how specification programs are integrated and lead to the terminal features of different neuronal types. Expected final online publication date for the Annual Review of Neuroscience, Volume 44 is July 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

β-Arrestins as Important Regulators of Glucose and Energy Homeostasis

2021 ◽  
Vol 84 (1) ◽  
Author(s):  
Sai P. Pydi ◽  
Luiz F. Barella ◽  
Lu Zhu ◽  
Jaroslawna Meister ◽  
Mario Rossi ◽  
...  
Keyword(s):  
Energy Homeostasis ◽  
Cell Types ◽  
Mutant Mice ◽  
Whole Body ◽  
Annual Review ◽  
Publication Date ◽  
Cytoplasmic Proteins ◽  
New Findings ◽  
Novel Drugs ◽  
G Protein Coupled

β-Arrestin-1 and -2 (also known as arrestin-2 and -3, respectively) are ubiquitously expressed cytoplasmic proteins that dampen signaling through G protein–coupled receptors. However, β-arrestins can also act as signaling molecules in their own right. To investigate the potential metabolic roles of the two β-arrestins in modulating glucose and energy homeostasis, recent studies analyzed mutant mice that lacked or overexpressed β-arrestin-1 and/or -2 in distinct, metabolically important cell types. Metabolic analysis of these mutant mice clearly demonstrated that both β-arrestins play key roles in regulating the function of most of these cell types, resulting in striking changes in whole-body glucose and/or energy homeostasis. These studies also revealed that β-arrestin-1 and -2, though structurally closely related, clearly differ in their metabolic roles under physiological and pathophysiological conditions. These new findings should guide the development of novel drugs for the treatment of various metabolic disorders, including type 2 diabetes and obesity. Expected final online publication date for the Annual Review of Physiology, Volume 84 is February 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Cell Type–Specific Nuclei Markers: The Need for Human Brain Research to Go Nuclear

2021 ◽  
pp. 107385842110373
Author(s):  
James A. Wiseman ◽  
Mike Dragunow ◽  
Thomas I.-H. Park
Keyword(s):  
Human Brain ◽  
Brain Research ◽  
Cell Types ◽  
Brain Cell ◽  
Normal Brain ◽  
Cell Type ◽  
Human Brain Tissue ◽  
Nuclear Markers ◽  
Cell Type Specific ◽  
Immunohistochemical Studies

Identifying and interrogating cell type–specific populations within the heterogeneous milieu of the human brain is paramount to resolving the processes of normal brain homeostasis and the pathogenesis of neurological disorders. While brain cell type–specific markers are well established, most are localized on cellular membranes or within the cytoplasm, with limited literature describing those found in the nucleus. Due to the complex cytoarchitecture of the human brain, immunohistochemical studies require well-defined cell-specific nuclear markers for more precise and efficient quantification of the cellular populations. Furthermore, efficient nuclear markers are required for cell type–specific purification and transcriptomic interrogation of archived human brain tissue through nuclei isolation–based RNA sequencing. To sate the growing demand for robust cell type–specific nuclear markers, we thought it prudent to comprehensively review the current literature to identify and consolidate a novel series of robust cell type–specific nuclear markers that can assist researchers across a range of neuroscientific disciplines. The following review article collates and discusses several key and prospective cell type–specific nuclei markers for each of the major human brain cell types; it then concludes by discussing the potential applications of cell type–specific nuclear workflows and the power of nuclear-based neuroscientific research.

Generating and Using Transcriptomically Based Retinal Cell Atlases

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Karthik Shekhar ◽  
Joshua R. Sanes
Keyword(s):  
Expression Patterns ◽  
Retinal Disease ◽  
Cell Types ◽  
Retinal Cell ◽  
Annual Review ◽  
Publication Date ◽  
Vertebrate Species ◽  
Retinal Cells ◽  
Vision Science ◽  
The Brain

It has been known for over a century that the basic organization of the retina is conserved across vertebrates. It has been equally clear that retinal cells can be classified into numerous types, but only recently have methods been devised to explore this diversity in unbiased, scalable, and comprehensive ways. Advances in high-throughput single-cell RNA-sequencing (scRNA-seq) have played a pivotal role in this effort. In this article, we outline the experimental and computational components of scRNA-seq and review studies that have used them to generate retinal atlases of cell types in several vertebrate species. These atlases have enabled studies of retinal development, responses of retinal cells to injury, expression patterns of genes implicated in retinal disease, and the evolution of cell types. Recently, the inquiry has expanded to include the entire eye and visual centers in the brain. These studies have enhanced our understanding of retinal function and dysfunction and provided tools and insights for exploring neural diversity throughout the brain. Expected final online publication date for the Annual Review of Vision Science, Volume 7 is September 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Metabolic Gatekeepers of Pathological B Cell Activation

2020 ◽  
Vol 16 (1) ◽  
Author(s):  
Teresa Sadras ◽  
Lai N. Chan ◽  
Gang Xiao ◽  
Markus Müschen
Keyword(s):  
B Cells ◽  
B Cell ◽  
Cell Activation ◽  
Cell Types ◽  
Cell Receptor ◽  
Annual Review ◽  
Publication Date ◽  
B Cell Activation ◽  
Dna Double Strand Breaks ◽  
Increased Risk

Unlike other cell types, B cells undergo multiple rounds of V(D)J recombination and hypermutation to evolve high-affinity antibodies. Reflecting high frequencies of DNA double-strand breaks, adaptive immune protection by B cells comes with an increased risk of malignant transformation. In addition, the vast majority of newly generated B cells express an autoreactive B cell receptor (BCR). Thus, B cells are under intense selective pressure to remove autoreactive and premalignant clones. Despite stringent negative selection, B cells frequently give rise to autoimmune disease and B cell malignancies. In this review, we discuss mechanisms that we term metabolic gatekeepers to eliminate pathogenic B cell clones on the basis of energy depletion. Chronic activation signals from autoreactive BCRs or transforming oncogenes increase energy demands in autoreactive and premalignant B cells. Thus, metabolic gatekeepers limit energy supply to levels that are insufficient to fuel either a transforming oncogene or hyperactive signaling from an autoreactive BCR. Expected final online publication date for the Annual Review of Pathology: Mechanisms of Disease, Volume 16 is February 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

scholarly journals Applications of brain organoids in neurodevelopment and neurological diseases

2021 ◽  
Vol 28 (1) ◽  
Author(s):  
Nan Sun ◽  
Xiangqi Meng ◽  
Yuxiang Liu ◽  
Dan Song ◽  
Chuanlu Jiang ◽  
...  
Keyword(s):  
Stem Cells ◽  
Human Brain ◽  
Neurological Diseases ◽  
Three Dimensional ◽  
Embryonic Stem ◽  
Cell Types ◽  
Current State ◽  
Spatiotemporal Process ◽  
Brain Organoid

AbstractA brain organoid is a self-organizing three-dimensional tissue derived from human embryonic stem cells or pluripotent stem cells and is able to simulate the architecture and functionality of the human brain. Brain organoid generation methods are abundant and continue to improve, and now, an in vivo vascularized brain organoid has been encouragingly reported. The combination of brain organoids with immune-staining and single-cell sequencing technology facilitates our understanding of brain organoids, including the structural organization and the diversity of cell types. Recent publications have reported that brain organoids can mimic the dynamic spatiotemporal process of early brain development, model various human brain disorders, and serve as an effective preclinical platform to test and guide personalized treatment. In this review, we introduce the current state of brain organoid differentiation strategies, summarize current progress and applications in the medical domain, and discuss the challenges and prospects of this promising technology.

Integration of Multimodal Data for Deciphering Brain Disorders

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Jingqi Chen ◽  
Guiying Dong ◽  
Liting Song ◽  
Xingzhong Zhao ◽  
Jixin Cao ◽  
...  
Keyword(s):  
Human Brain ◽  
Data Science ◽  
Annual Review ◽  
Publication Date ◽  
Biomedical Data ◽  
Brain Disorders ◽  
Multimodal Data ◽  
Future Data ◽  
The Brain ◽  
Shed Light

The accumulation of vast amounts of multimodal data for the human brain, in both normal and disease conditions, has provided unprecedented opportunities for understanding why and how brain disorders arise. Compared with traditional analyses of single datasets, the integration of multimodal datasets covering different types of data (i.e., genomics, transcriptomics, imaging, etc.) has shed light on the mechanisms underlying brain disorders in greater detail across both the microscopic and macroscopic levels. In this review, we first briefly introduce the popular large datasets for the brain. Then, we discuss in detail how integration of multimodal human brain datasets can reveal the genetic predispositions and the abnormal molecular pathways of brain disorders. Finally, we present an outlook on how future data integration efforts may advance the diagnosis and treatment of brain disorders. Expected final online publication date for the Annual Review of Biomedical Data Science, Volume 4 is July 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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