Similar Datasets
Project description:we use RNA-seq to attain transcriotomes of 8 bat species
2022-03-13 | GSE40993 | GEO
Project description:Frugivorous bats drink but lost the key alcohol metabolism gene--Adh1
| PRJNA200302 | ENA
Project description:An Infinium microarray platform (GPL28271, HorvathMammalMethylChip40) was used to generate DNA methylation data from several tissues in several bat species. Tissues: skin (wing punches), liver, brain, skeletal muscle.
2021-01-28 | GSE164127 | GEO
Project description:Bats can harbor many pathogens without showing disease. However, the mechanisms by which bats resolve these infections or limit pathology remain unclear. To illuminate the bat immune response to coronaviruses, viruses with high public health significance, we will use serum proteomics to assess broad differences in immune proteins of uninfected and infected vampire bats (Desmodus rotundus). In contrast to global profiling techniques of blood such as transcriptomics, proteomics provides a unique perspective into immunology, as the serum proteome includes proteins from not only blood but also those secreted from proximal tissues. Here, we expand our recent work on the serum proteome of wild vampire bats (Desmodus rotundus) to better understand CoV pathogenesis. Across 19 bats sampled in 2019 in northern Belize with available sera, we detected CoVs in oral or rectal swabs from four individuals. We used data independent acquisition-based mass spectrometry to profile and compare the undepleted serum proteome of these 19 bats. These results will provide much needed insight into changes in the bat serum proteome in response to coronavirus infection.
2022-01-19 | PXD031075 | Pride
Project description:Liver and BAT expression differences between the fat F-line, and congenic Fob3b-line. Normalised data appended as follows: TABLE 1: LIVER - 1st set (7.5K) of the 2 slide NIA NIH 15K set -source1 = F-line liver male - 2 pools each made from 5 different individuals -source2 = Fob3b-line (aka Fchr15D-line) liver male - 2 pools each made from 5 different individuals -values are normalised using mixed model across 6 slides: 1 F-line vs Fline 2 Fob3b-line vs Fob3b-line 3 F-line pool1 vs Fob3b-line pool1 4 F-line pool1 vs Fob3b-line pool1 -dye swap 5 F-line pool2 vs Fob3b-line pool2 6 F-line pool2 vs Fob3b-line pool2 -dye swap TABLE 2: LIVER - 2nd set (7.5K) of the 2 slide NIA NIH 15K set -source1 = F-line liver male - 2 pools each made from 5 differnt individuals -source2 = Fob3b-line (aka Fchr15D-line) liver male - 2 pools each made from 5 differnt individuals -values are normalised using mixed model across 6 slides: 1 F-line Vs F-line 2 Fob3b-line vs Fob3b-line 3 F-line pool1 vs Fob3b-line pool2 4 F-line pool1 vs Fob3b-line pool2 dye swap 5 F-line pool2 vs Fob3b-line pool1 6 F-line pool2 vs Fob3b-line pool1 dye swap TABLE 3: Brown Adipose Tissue (BAT) 1st (7.5K) array set of 15K NIA NIH set -source1 = F-line male BAT from 2 pools each made from 5 different individuals -source2 = Fob3b-line (aka Fchr15D-line) male BAT from 2 pools each made from 5 different individuals -values are normalised using mixed model across 4 slides: 1 F-line pool1 vs Fob3b-line pool1 2 F-line pool1 vs Fob3b-line pool1 dye swap 3 F-line pool2 vs Fob3b-line pool2 4 F-line pool2 vs Fob3b-line pool2 dye swap TABLE 4: Brown Adipose Tissue (BAT) 2nd (7.5K) array of the 15K NIA NIH set -source1 = F-line male BAT (2 pools each from 5 individual mice) -source2 = Fob3b-line (aka Fchr15D-line) male BAT (2 pools each from 5 individual mice) -values are normalised using mixed model across 4 slides: 1 F-line pool1 vs Fob3b-line pool1 2 F-line pool1 vs Fob3b-line pool1 dye swap 3 F-line pool2 vs Fob3b-line pool2 4 F-line pool2 vs Fob3b-line pool2 dye swap Keywords = Obesity Keywords = Fob3b Keywords = QTL Keywords = congenic
2010-05-27 | E-GEOD-1558 | biostudies-arrayexpress
Project description:Liver and BAT expression differences between the fat F-line, and congenic Fob3b-line. Normalised data appended as follows: TABLE 1: LIVER - 1st set (7.5K) of the 2 slide NIA NIH 15K set -source1 = F-line liver male - 2 pools each made from 5 different individuals -source2 = Fob3b-line (aka Fchr15D-line) liver male - 2 pools each made from 5 different individuals -values are normalised using mixed model across 6 slides: 1 F-line vs Fline 2 Fob3b-line vs Fob3b-line 3 F-line pool1 vs Fob3b-line pool1 4 F-line pool1 vs Fob3b-line pool1 -dye swap 5 F-line pool2 vs Fob3b-line pool2 6 F-line pool2 vs Fob3b-line pool2 -dye swap TABLE 2: LIVER - 2nd set (7.5K) of the 2 slide NIA NIH 15K set -source1 = F-line liver male - 2 pools each made from 5 differnt individuals -source2 = Fob3b-line (aka Fchr15D-line) liver male - 2 pools each made from 5 differnt individuals -values are normalised using mixed model across 6 slides: 1 F-line Vs F-line 2 Fob3b-line vs Fob3b-line 3 F-line pool1 vs Fob3b-line pool2 4 F-line pool1 vs Fob3b-line pool2 dye swap 5 F-line pool2 vs Fob3b-line pool1 6 F-line pool2 vs Fob3b-line pool1 dye swap TABLE 3: Brown Adipose Tissue (BAT) 1st (7.5K) array set of 15K NIA NIH set -source1 = F-line male BAT from 2 pools each made from 5 different individuals -source2 = Fob3b-line (aka Fchr15D-line) male BAT from 2 pools each made from 5 different individuals -values are normalised using mixed model across 4 slides: 1 F-line pool1 vs Fob3b-line pool1 2 F-line pool1 vs Fob3b-line pool1 dye swap 3 F-line pool2 vs Fob3b-line pool2 4 F-line pool2 vs Fob3b-line pool2 dye swap TABLE 4: Brown Adipose Tissue (BAT) 2nd (7.5K) array of the 15K NIA NIH set -source1 = F-line male BAT (2 pools each from 5 individual mice) -source2 = Fob3b-line (aka Fchr15D-line) male BAT (2 pools each from 5 individual mice) -values are normalised using mixed model across 4 slides: 1 F-line pool1 vs Fob3b-line pool1 2 F-line pool1 vs Fob3b-line pool1 dye swap 3 F-line pool2 vs Fob3b-line pool2 4 F-line pool2 vs Fob3b-line pool2 dye swap Keywords = Obesity Keywords = Fob3b Keywords = QTL Keywords = congenic Keywords: other
2004-12-16 | GSE1558 | GEO
Project description:Stimulating brown adipose tissue (BAT) energy expenditure could be a therapy for obesity and related metabolic diseases. Achieving this requires a systems-level understanding of the biochemical underpinnings of thermogenesis. To identify novel metabolic features of active BAT, we measured protein abundance, protein acetylation, and metabolite levels in BAT isolated from mice living in their thermoneutral zone or in colder environments. We find that the enzymes which synthesize lipids from cytosolic acetyl-coA are among the most robustly increased proteins after cold acclimation, consistent with recent studies highlighting the importance of anabolic de novo lipogenesis in BAT. In addition, many mitochondrial proteins are hyperacetylated by cold acclimation, including several sites on UCP1, which may have functional relevance. Metabolomics analysis further reveals cold-dependent increases to acetylated carnitine and several amino acids. This BAT multi-omics resource highlights widespread proteomic and metabolic changes linked to acetyl-coA synthesis and utilization that may be useful in unraveling the remarkable metabolic properties of active BAT.
| MSV000082951 | MassIVE
Project description:Jamaican fruit bats (Artibeus jamaicensis) naturally harbor a wide range of viruses of human relevance. These infections are typically mild in bats, suggesting unique features of their immune system. To better understand the immune response to viral infections in bats, we infected Jamaican fruit bats with the bat-derived influenza A virus H18N11. Using comparative single-cell RNA sequencing, we generated a single-cell atlas of the Jamaican fruit bat intestine and mesentery, the target organs of infection. Gene expression profiling showed that H18N11 infection resulted in a moderate induction of interferon-stimulated genes and transcriptional activation of immune cells. H18N11 infection was prominent in various leukocytes, including macrophages, B cells, and NK/T cells. Confirming these findings, human leukocytes, particularly macrophages, were also susceptible to H18N11, highlighting the zoonotic potential of this virus. Our study provides insight into the virus-host relationship and thus serves as a fundamental resource for further characterization of bat immunology.
2024-05-06 | GSE243982 | GEO
Project description:Vesper bats (family Vespertilionidae) experienced a rapid adaptive radiation beginning around 36 mya that resulted in the second most species rich mammalian family. Coincident with that radiation was an initial burst of DNA transposon activity that has continued into the present. Deep sequencing of small RNAs from the vespertilionid, Eptesicus fuscus, as well as dog and horse revealed that substantial numbers of novel bat miRNAs are derived from DNA transposons unique to vespertilionids. In fact, 35.9% of Eptesicus-specific miRNAs derive from DNA transposons compared to 2.2 and 5.9% of dog- and horse-specific miRNAs, respectively and targets of several miRNAs are identifiable. Timing of the DNA transposon expansion and the introduction of novel miRNAs coincides remarkably well with the rapid diversification of the family Vespertilionidae. We suggest that the rapid and repeated perturbation of regulatory networks by the introduction of many novel miRNA loci was a factor in the rapid radiation. A testicular tissue sample from dog, horse, and two different Eptesicus fuscus individuals. Four samples total.
2014-05-19 | E-GEOD-47593 | biostudies-arrayexpress