Microglia constitute a highly specialized network of tissue-resident immune cells that is important for the control of tissue homeostasis and the resolution of diseases of the CNS. Little is known about how their spatial distribution is established and maintained in vivo. Here we establish a new multicolor fluorescence fate mapping system to monitor microglial dynamics during steady state and disease. Our findings suggest that microglia establish a dense network with regional differences, and the high regional turnover rates found challenge the universal concept of microglial longevity. Microglial self-renewal under steady state conditions constitutes a stochastic process. During pathology this randomness shifts to selected clonal microglial expansion. In the resolution phase, excess disease-associated microglia are removed by a dual mechanism of cell egress and apoptosis to re-establish the stable microglial network. This study unravels the dynamic yet discrete self-organization of mature microglia in the healthy and diseased CNS.
Our understanding of how genotype controls phenotype is limited by the scale at which we can precisely alter the genome and assess phenotypic consequences of each perturbation. Here we describe a CRISPR/Cas9-based method for multiplexed accurate genome editing with short, trackable, integrated cellular barcodes (MAGESTIC) in S. cerevisiae. MAGESTIC uses array-synthesized guide-donor oligos for plasmid-based high-throughput editing and features genomic barcode integration to prevent plasmid barcode loss and to enable robust phenotyping. We demonstrate that editing efficiency can be increased >5-fold by recruiting donor DNA to the site of breaks using the LexA-Fkh1p fusion protein. We performed saturation editing of the essential gene SEC14 and identified amino acids critical for chemical inhibition of lipid signaling. We also constructed thousands of natural genetic variants, characterized guide mismatch tolerance at the genome-scale, and ascertained that cryptic Pol III termination elements substantially reduce guide efficacy. MAGESTIC will be broadly useful to uncover the genetic basis of phenotypes in yeast.
Dissecting the molecular basis of quantitative traits is a significant challenge and is essential for understanding complex diseases. Even in model organisms, precisely determining causative genes and their interactions has remained elusive, due in part to difficulty in narrowing intervals to single genes and in detecting epistasis or linked quantitative trait loci. These difficulties are exacerbated by limitations in experimental design, such as low numbers of analyzed individuals or of polymorphisms between parental genomes. We address these challenges by applying three independent high-throughput approaches for QTL mapping to map the genetic variants underlying 11 phenotypes in two genetically distant Saccharomyces cerevisiae strains, namely (1) individual analysis of >700 meiotic segregants, (2) bulk segregant analysis, and (3) reciprocal hemizygosity scanning, a new genome-wide method that we developed. We reveal differences in the performance of each approach and, by combining them, identify eight polymorphic genes that affect eight different phenotypes: colony shape, flocculation, growth on two nonfermentable carbon sources, and resistance to two drugs, salt, and high temperature. Our results demonstrate the power of individual segregant analysis to dissect QTL and address the underestimated contribution of interactions between variants. We also reveal confounding factors like mutations and aneuploidy in pooled approaches, providing valuable lessons for future designs of complex trait mapping studies.
The segregation of homologous chromosomes during the Meiosis I division requires an obligate crossover per homolog pair (crossover assurance). In Saccharomyces cerevisiae and mammals, Msh4 and Msh5 proteins stabilize Holliday junctions and its progenitors to facilitate crossing over. S. cerevisiae msh4/5 hypomorphs that reduce crossover levels up to twofold at specific loci on chromosomes VII, VIII, and XV without affecting homolog segregation were identified recently. We use the msh4–R676W hypomorph to ask if the obligate crossover is insulated from variation in crossover frequencies, using a S. cerevisiae S288c/YJM789 hybrid to map recombination genome-wide. The msh4–R676W hypomorph made on average 64 crossovers per meiosis compared to 94 made in wild type and 49 in the msh4Δ mutant confirming the defect seen at individual loci on a genome-wide scale. Crossover reductions in msh4–R676W and msh4Δ were significant across chromosomes regardless of size, unlike previous observations made at specific loci. The msh4–R676W hypomorph showed reduced crossover interference. Although crossover reduction in msh4–R676W is modest, 42% of the four viable spore tetrads showed nonexchange chromosomes. These results, along with modeling of crossover distribution, suggest the significant reduction in crossovers across chromosomes and the loss of interference compromises the obligate crossover in the msh4 hypomorph. The high spore viability of the msh4 hypomorph is maintained by efficient segregation of the natural nonexchange chromosomes. Our results suggest that variation in crossover frequencies can compromise the obligate crossover and also support a mechanistic role for interference in obligate crossover formation.
During development, the role of the phosphatidylserine receptor (PSR) in the removal of apoptotic cells that have died is poorly understood. We have investigated this role of PSR in developing zebrafish. Programmed cell death began during the shield stage, with dead cells being engulfed by a neighboring cell that showed a normal-looking nucleus and the nuclear condensation multi-micronuclei of an apoptotic cell. The zebrafish PSR engulfing receptor was cloned (zfpsr), and its nucleotide sequence was compared with corresponding sequences in Drosophila melanogaster (76% identity),human (74%), mouse (72%) and Caenorhabditis elegans (60%). The PSR receptor contained a jmjC domain (residues 143-206) that is a member of the cupin metalloenzyme superfamily, but in this case serves an as yet unknown function(s). psr knockdown by a PSR morpholino oligonucleotide led to accumulation of a large number of dead apoptotic cells in whole early embryo. These cells interfered with embryonic cell migration. In addition, normal development of the somite, brain, heart and notochord was sequentially disrupted up to 24 hours post-fertilization. Development could be rescued in defective embryos by injecting psr mRNA. These results are consistent with a PSR-dependent system in zebrafish embryos that engulfs apoptotic cells mediated by PSR-phagocytes during development, with the system assuming an important role in the normal development of tissues such as the brain, heart,notochord and somite.
MicroRNA (miRNA) are a class of small, single-stranded, non-coding RNA that regulate mRNA expression at the post-transcriptional level and play important roles in many fundamental biological processes. There is emerging evidence that miRNA are critical regulators of widespread cellular functions, such as differentiation, proliferation, and migration. At present, little is known about miRNA expression profiles related to skeletal muscle growth in aquatic organisms. This study aimed to investigate the phenotypic variation in the body growth of the Nile tilapia (Oreochromis niloticus) and to identify and quantify the differential expression levels of selected growth-related transcriptomic miRNA in the skeletal muscle of this fish. To this end, we performed next-generation sequencing to define the full miRNA transcriptome in muscle tissue from Nile tilapia and to detect differentially expressed miRNA between 2 strains of Nile tilapia. These tilapia strains exhibited significant (P < 0.05) phenotypic variation with respect to growth-related traits (body length and BW), mitochondrial DNA (mtDNA) haplotype diversity, and the differential expression of selected growth-related genes. The results obtained from the transcriptome analysis and real-time quantitative reverse transcription PCR (qRT-PCR) revealed significant differences in miRNA expression between fast-growing and control strains of tilapia. Digital gene expression (DGE) profiling was performed based on the obtained read abundance, and we identified down-regulated miRNA, including let-7j, miR-140, miR-192, miR-204, miR-218a, miR-218b, miR-301c, and miR-460, and up-regulated miRNA, including let-7b, let-7c, miR-133, miR-152, miR-15a, miR-193a, miR-30b, and miR-34, associated with body growth in tilapia. These results were further validated using real-time qRT-PCR and microarray profiling. In summary, the up- and down-regulation of miRNA involved in the GH/IGF-1 axis signaling pathway suggests that the differential expression levels of growth-related miRNA may serve as molecular markers that are predictive of specific functional and diagnostic implications. The obtained data on genetic polymorphisms in miRNA-target interactions are particularly useful for Nile tilapia breeding programs.
The C-terminal domain (CTD) of the largest subunit of RNA polymerase II (Pol II) is a regulatory hub for transcription and RNA processing. Here, we identify PHD-finger protein 3 (PHF3) as a regulator of transcription and mRNA stability that docks onto Pol II CTD through its SPOC domain. We characterize SPOC as a CTD reader domain that preferentially binds two phosphorylated Serine-2 marks in adjacent CTD repeats. PHF3 drives liquid-liquid phase separation of phosphorylated Pol II, colocalizes with Pol II clusters and tracks with Pol II across the length of genes. PHF3 knock-out or SPOC deletion in human cells results in increased Pol II stalling, reduced elongation rate and an increase in mRNA stability, with marked derepression of neuronal genes. Key neuronal genes are aberrantly expressed in Phf3 knock-out mouse embryonic stem cells, resulting in impaired neuronal differentiation. Our data suggest that PHF3 acts as a prominent effector of neuronal gene regulation by bridging transcription with mRNA decay.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.