Monocytes re-enter the bone marrow during fasting and alter the host response to infection
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA899794 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR22244630_1.fastq.gz | Fastqsanger.gz | |||
| SRR22244630_2.fastq.gz | Fastqsanger.gz | |||
| SRR22244631_1.fastq.gz | Fastqsanger.gz | |||
| SRR22244631_2.fastq.gz | Fastqsanger.gz | |||
| SRR22244632_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 28 |
Similar Datasets
Project description:The aim was to investigate transcriptional differences between circulating Ly6Chi monocytes under feeding and fasting/re-feeding conditions Ly6Chi monocytes were sorted from blood after contious feeding or after a 24h fast follwed by a four hour re-feeding period
2023-03-07 | GSE217597 | GEO
Project description:Diet profoundly influences physiology. Whereas over-nutrition elevates risk for disease via its influence on immunity and metabolism, caloric restriction and fasting appear to be salutogenic. Despite multiple correlations observed between diet and health, the underlying biology remains unclear. Here, we identified a fasting-induced switch in leukocyte migration that prolongs monocyte lifespan and alters susceptibility to disease in mice. We show that fasting during the active phase induced the rapid return of monocytes from the blood to the bone marrow. Monocyte re-entry was orchestrated by hypothalamic-pituitary-adrenal (HPA) axis-dependent release of corticosterone, which augmented the CXCR4 chemokine receptor. Although the marrow is a safe haven for monocytes during nutrient scarcity, re-feeding prompted mobilization culminating in monocytosis of chronologically older and transcriptionally distinct monocytes. These shifts altered response to infection. Our study shows that diet-in particular, a diet's temporal dynamic balance-modulates monocyte lifespan with consequences for adaptation to external stressors.
| S-EPMC10101885 | biostudies-literature
Project description:One of the key functions of the mammalian liver is lipid metabolism. During fasting, lipid storage in the liver increases in order to reserve and provide energy for cellular functions. Upon re-feeding, this reserve of lipids is rapidly depleted; this change is visible, as the organelles responsible for lipid storage – lipid droplets (LDs) – drastically decrease in size following re-feeding. Little is known regarding LD proteome, or how it changes during the fasting/re-feeding transition. Our study investigated the hepatic LD proteome and how it changes between fasting and re-feeding conditions. For this purpose, LDs were isolated from 4 month-old C57BL/6 mice after a 24 hour fasting period, or a 24 hour fasting period followed by 6 hours of re-feeding. Proteins isolated from these LDs were subject to SDS-PAGE followed by in-gel trypsinization and LC-MS/MS. We identified a combined total of 941 proteins on hepatic LDs, of which 817 had quantifiable extracted ion chromatograms in at least 2 samples (n=6 total) and were not deemed contaminants. 777 of the 817 proteins were observed in both energetic states, with 33 being uniquely observed in fasted LDs, and 7 being uniquely observed in re-fed LDs.
2018-05-25 | PXD005977 | Pride
Project description:Rdh1 is one of the several enzymes that catalyze the first of the two reactions to convert retinol into all-trans-retinoic acid (atRA). Here we show that Rdh1-null mice fed low-fat diet gain more weight as adiposity thann wild-type mice by 20 weeks old, despite neither consuming more calories nor decreasing activity. RNAseq revealed dysregulation of 424 BAT genes in null mice, with segregated predominantly into differences after fasting vs after re-feeding. Rdh1-generated atRA in BAT regulates multiple genes that promote BAT adaptation to whole-body energy status, such as fasting and re-feeding.
2019-03-20 | GSE128631 | GEO
Project description:Chromatin structure restricts origin utilization when quiescent cells re-enter the cell cycle
| PRJNA655722 | ENA
Project description:Quiescent cells reside in G0 phase, which is characterized by the absence of cell growth and proliferation. These cells remain viable and re-enter the cell cycle when prompted by appropriate signals. Using a budding yeast model of cellular quiescence, we investigated the program that initiated DNA replication when these G0 cells resumed growth. We performed BrdU IP-Seq to examine the DNA replication profile genome-wide. These data revealed that the initiation of replication was delayed and fewer origins were active when G0 cells entered the cell cycle compared to the entry of G1 cells into S phase. We found that both the transcript and protein levels of these replication factors were significantly diminished during the development of proliferating cells into quiescence. The levels of these factors, including MCM2-7 helicase, increased as G0 cells re-entered the cell cycle, suggesting that the replication program is re-established de novo. Consistent with these results, Mcm4 ChIP-seq analysis showed fewer and reduced binding at a number of origins during the re-entry of G0 cells into the cell cycle. In support of this evidence, the chromatin context surrounding inactive origins of G0 cells exhibits greater increased nucleosome occupancy and reduced periodicity of nucleosome positioning. Altogether, these observations provide insights into the important role of chromatin context that determines the ability of replication origin to accrue limiting replication factors during the the re-entry of quiescent cells into the cell cycle.
2020-08-07 | GSE155831 | GEO
Project description:This study integrates global transcriptional profiling and the metabolic perturbation induced by fasting and re-feeding. Genetic control of growth and development should be revealed by systematic modeling of metabolic and regulatory pathways. Chicken oligo arrays were used for transcriptional profiling in two time-course experiments. Two critical developmental stages were chosen: immediately after hatchling (Wk1) and prior to marketing of broiler chickens (Wk6). Only male chickens were used to simplify the experimental design. A RNA reference design was employed for microarray hybridization using two reference RNA pools derived from all individuals sampled at either Wk1 or Wk6. Microarray data was acquired using GenePix Pro software. Loess normalization and a linear mixed model were applied in data processing using the R statistical package with LIMMA software [Smyth, G. K. (2004) Linear models and empirical Bayes methods for assessing differential expression in microarray experiments. Statistical Applications in Genetics and Molecular Biology, Vol. 3, No. 1, Article 3]. The results show hundreds of differentially expressed genes, which are regulated by age and the metabolic perturbation of fasting and re-feeding. Numerous common genes were found at both developmental stages (Wk1 and Wk6) that could be candidates for controlling growth and development of chickens. Differential expression revealed by either microarray or qRT-PCR analyses of selected genes was highly consistent. QRT-PCR verification of genes acutely depressed by fasting includes AGO1, ANGTPL3, ATPCL, FASN, FAT, ME1, PPARG, SCD1, SREBP1 and THRSPA. Genes up-regulated by fasting were ALDOB, IL-15, LDHB, LIPIN2, PANK1, PPARA and UPP2. These genes are functionally assigned to metabolic enzymes, transcription factors, acute phase proteins, immune factors and involved in various pathways (i.e., fatty acid and amino acid metabolism, glycolysis, growth factor signaling and immune defense). Keywords: Hepatic transcripts, oligo-array, chicken, metabolic perturbation, fasting and re-feeding
2008-04-01 | GSE9745 | GEO
Project description:In order to identify the RNAs bound by NONO complexes in different nutritional conditions, we carried out RNA immunoprecipitation followed by sequencing (RIP-seq) of NONO from mouse liver nuclei collected at three different times of the day. Samples were collected after fasting (ZT10), 2h after re-feeding (ZT14) and towards the end of the feeding period (ZT22). The co-immunoprecipitated RNA (along with input RNA and unspecific IgG bound RNA) was sequenced.
2018-01-18 | GSE98040 | GEO
Project description:This study integrates global transcriptional profiling and the metabolic perturbation induced by fasting and re-feeding. Genetic control of growth and development should be revealed by systematic modeling of metabolic and regulatory pathways. Chicken oligo arrays were used for transcriptional profiling in two time-course experiments. Two critical developmental stages were chosen: immediately after hatchling (Wk1) and prior to marketing of broiler chickens (Wk6). Only male chickens were used to simplify the experimental design. A RNA reference design was employed for microarray hybridization using two reference RNA pools derived from all individuals sampled at either Wk1 or Wk6. Microarray data was acquired using GenePix Pro software. Loess normalization and a linear mixed model were applied in data processing using the R statistical package with LIMMA software [Smyth, G. K. (2004) Linear models and empirical Bayes methods for assessing differential expression in microarray experiments. Statistical Applications in Genetics and Molecular Biology, Vol. 3, No. 1, Article 3]. The results show hundreds of differentially expressed genes, which are regulated by age and the metabolic perturbation of fasting and re-feeding. Numerous common genes were found at both developmental stages (Wk1 and Wk6) that could be candidates for controlling growth and development of chickens. Differential expression revealed by either microarray or qRT-PCR analyses of selected genes was highly consistent. QRT-PCR verification of genes acutely depressed by fasting includes AGO1, ANGTPL3, ATPCL, FASN, FAT, ME1, PPARG, SCD1, SREBP1 and THRSPA. Genes up-regulated by fasting were ALDOB, IL-15, LDHB, LIPIN2, PANK1, PPARA and UPP2. These genes are functionally assigned to metabolic enzymes, transcription factors, acute phase proteins, immune factors and involved in various pathways (i.e., fatty acid and amino acid metabolism, glycolysis, growth factor signaling and immune defense). A reference RNA design was used for microarray hybridizations, where the same reference RNA pool was co-hybridized to each target sample on an microarray. The reference RNA pool was made from an equal amount of high-quality amplified RNA (aRNA), derived from all liver samples within each experiment (Wk1 = 50 samples and Wk6 = 30 samples). The reference RNA pool was labeled with Alexa 647 while each target sample was labeled with Alexa 555.
2008-04-01 | E-GEOD-9745 | biostudies-arrayexpress
Project description:In order to understand the role of heterodimeric hypoxia-inducible factors (HIF) in non-alcoholic fatty liver disease, we subjected wild type and Hif1-alpha mutant mice to nutritional stress conditions imposed by switching from fasting to re-feeding. Liver samples and subsequently RNA were extracted at each time point and used to comprehensively characterise transcriptional changes using microarray technology. We provide biological replicates for each of the conditions.
2022-12-01 | E-MTAB-7040 | biostudies-arrayexpress