Organelles - understanding noise and heterogeneity in cell biology at an intermediate scale.

J Cell Sci

Department of Biochemistry and Biophysics, Center for Cellular Construction, University of California, San Francisco, CA 94158, USA

Published: March 2017

Many studies over the years have shown that non-genetic mechanisms for producing cell-to-cell variation can lead to highly variable behaviors across genetically identical populations of cells. Most work to date has focused on gene expression noise as the primary source of phenotypic heterogeneity, yet other sources may also contribute. In this Commentary, we explore organelle-level heterogeneity as a potential secondary source of cellular 'noise' that contributes to phenotypic heterogeneity. We explore mechanisms for generating organelle heterogeneity and present evidence of functional links between organelle morphology and cellular behavior. Given the many instances in which molecular-level heterogeneity has been linked to phenotypic heterogeneity, we posit that organelle heterogeneity may similarly contribute to overall phenotypic heterogeneity and underline the importance of studying organelle heterogeneity to develop a more comprehensive understanding of phenotypic heterogeneity. Finally, we conclude with a discussion of the medical challenges associated with phenotypic heterogeneity and outline how improved methods for characterizing and controlling this heterogeneity may lead to improved therapeutic strategies and outcomes for patients.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5358330PMC
http://dx.doi.org/10.1242/jcs.181024DOI Listing

Publication Analysis

Top Keywords

phenotypic heterogeneity
24
heterogeneity
13
organelle heterogeneity
12
phenotypic
6
organelles understanding
4
understanding noise
4
noise heterogeneity
4
heterogeneity cell
4
cell biology
4
biology intermediate
4

Similar Publications

The current DSM-oriented diagnostic paradigm has introduced the issue of heterogeneity, as it fails to account for the identification of the neurological processes underlying mental illnesses, which affects the precision of treatment. The Research Domain Criteria (RDoC) framework serves as a recognized approach to addressing this heterogeneity, and several assessment and translation techniques have been proposed. Among these methods, transforming RDoC scores from electronic medical records (EMR) using Natural Language Processing (NLP) has emerged as a suitable technique, demonstrating clinical effectiveness.

View Article and Find Full Text PDF

Multimodal learning for mapping genotype-phenotype dynamics.

Nat Comput Sci

January 2025

Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.

How complex phenotypes emerge from intricate gene expression patterns is a fundamental question in biology. Integrating high-content genotyping approaches such as single-cell RNA sequencing and advanced learning methods such as language models offers an opportunity for dissecting this complex relationship. Here we present a computational integrated genetics framework designed to analyze and interpret the high-dimensional landscape of genotypes and their associated phenotypes simultaneously.

View Article and Find Full Text PDF

The central nervous system (CNS) requires specialized blood vessels to support neural function within specific microenvironments. During neurovascular development, endothelial Wnt/β-catenin signaling is required for BBB development within the brain parenchyma, whereas fenestrated blood vessels that lack BBB properties do not require Wnt/β-catenin signaling. Here, we used zebrafish to further characterize this phenotypic heterogeneity of the CNS vasculature.

View Article and Find Full Text PDF

The 'inflammazone' in chronic inflammatory diseases: psoriasis and sarcoidosis.

Trends Immunol

January 2025

Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China; Nanhai Clinical Translational Center, Sun Yat-sen Memorial Hospital, Foshan, China; Breast Tumor Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China; Zenith Institute of Medical Sciences, Guangzhou 510120, China. Electronic address:

Chronic inflammatory diseases show significant heterogeneity in their phenotypes, with diverse immune cells and mediators interacting in response to various stimuli. This review proposes the concept of the 'inflammazone' framework - which maps the distribution of immune components driving disease pathogenesis - using sarcoidosis and psoriasis as examples. Sarcoidosis features granulomatous inflammation with macrophages and CD4 T cells, which can spread to lymph nodes and other organs.

View Article and Find Full Text PDF

Genomic profiling at a single center cracks the code in inborn errors of immunity.

Intern Emerg Med

January 2025

Unit of Internal Medicine and Clinical Oncology "G. Baccelli", Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari Aldo Moro Medical School, Bari, Italy.

Inborn errors of immunity (IEI) entail a diverse group of disorders resulting from hereditary or de novo mutations in single genes, leading to immune dysregulation. This study explores the clinical utility of next-generation sequencing (NGS) techniques in diagnosing monogenic immune defects. Eight patients attending the immunodeficiency clinic and with unclassified antibody deficiency were included in the analysis.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!