Plasmodium falciparum
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ABSTRACT:
PROVIDER: PRJNA206514 | ENA |
REPOSITORIES: ENA
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Project description:We sequenced 12 ATAC-Seq lbraries from four biological replicates before (T1) and after the onset of maturation (T2, T3, T4) from liver. To characterise changes in chromatin state following long light initiation, we defined differentially accessible regions (DARs) where mapping counts differed significantly between T1 and other time points. This revealed a strong early remodelling in the chromatin state landscape, as most DARs were observed at T2 (n=1501) before decreasing in stepwise fashion at T3 (n=477) and T4. The majority of DARs (n=1036 or 57%) exhibit reduced accessibility at T2 compared with T1 and subsequently remained unchanged at later time points (Fig. 5a; Supplementary Figure S14). Similarly, regions that gained accessibility at T2 (n=696 or 38%) also remained unchanged at later timepoints. This left less than 10% of DARs (n=99) that displayed an oscillating pattern following the onset of the maturation. Together, this revealed the ATAC-seq signatures were predominantly stable chromatin state changes.
2020-08-28 | GSE156998 | GEO
Project description:Firstly, we extracted bone marrow cells from AML mouse models in four different timepoints (T0, T1, T2 and T3). And we used droplet-based single cell RNA sequencing technology to reveal the early-MDS, late-MDS, MDS-AML and AML four-stage landscape in a mouse AML model initiated by Myc overexpression. Also, we extracted one AML patient bone marrow sample to sequence by constructing library following 10X genomics platform. And integrated this data with four AML patients data from 10X genomics database to explain the molecular mechanism of splicing events of TMEM134 in AML. To verify the alternative splicing results, we used smartseq2 to construct the single cell library in T3. And combined TCGA-LAML and TARGET-AML database and our mouse function data, we identify the alternative splicing events of TMEM134 could drive the proliferation function in acute myelogenous leukemogenesis.
2023-01-30 | GSE142645 | GEO
Project description:Thousands of lncRNAs have been found in zebrafish embryogenesis and adult tissues, but their identification and organogenesis-related function have not elucidated. In this study, high-throughput sequencing was performed at three different organogenesis stages of zebrafish embryos, which were important for zebrafish muscle development. The three stages were 10 hpf (hours post fertilization) (T1), 24 hpf (T2) and 36 hpf (T3).
2023-07-19 | GSE235668 | GEO
Project description:Total RNA extracted from differentiated mesenchymal stem cells at four time points (T1,T2,T3,T4) and sequenced using Illumina Hi-seq 2000 platform to generate RNA sequencing with 101bp in read length. Nearly 50 million raw reads were yielded from each sample respectively. We used FastQC to confirm the quality of raw fastq sequencing data, and SOAPfuse software to detect fusion transcripts.
2016-02-09 | GSE64032 | GEO
Project description:Impact of antibiotics (T2) or antibiotics in combination with stress (T3) in early life on intestinal functioning in pigs on 8, 55, 176 days in jejunum and ileum (blood only day 8) and control pigs (T1) 4 pools consisting of 16 animals were generated per time-point (day 8, 55, 176 after birth) per treatment (T1;control, T2; antibiotics, T3; antibiotics+stress)
2014-09-01 | E-GEOD-53170 | biostudies-arrayexpress
Project description:Purpose: sRNA-sequencing of mature and intermediate gonadal tissue in order to identify the differential expression of miRNAs during male to female (i.e. protandrous) sex transition Methods: Total RNA was extracted and sRNA was purified. cDNA libraries were constructed using a high definition adapter protocol (Xu et al. 2015). 50 bp sequencing was performed on Illumina's HiSeq 2500 at the Earlham Institute, Norwich, UK. Sequenced data was trimmed for adapters and filtered to remove very short and low complexity sequences. miRBase animal miRNA precursor sequences were mapped against the Asian seabass genome in order to generate a set of putative miRNA precursors. Putative precursor molecules with aligning mature miRBase miRNA(s) and forming a valid pre-miRNA hairpin structure were annotated as valid precursor miRNAs. Novel precursor and mature miRNAs were annotated using a combination of published algorithms and manual checking to ensure consistency with canonical miRNA biogenesis criteria. The alignment of sequenced reads against a non-redundant miRNA precursor set was used to determine raw read counts of mature miRNAs. Differential expression analysis was performed in order to identify differentially expressed mature miRNAs between conditions. Results: We detect 156, 71, 122, 151, 171 and 155 differentially expressed miRNA for the testis -> T1/T2, T1/T2 -> T3/T4, T3/T4 -> ovary, testis -> T3/T4, T1/T2 -> ovary and the testis->ovary comparisons respectively Conclusions: There is substantial differential expression of miRNAs at every stage of gonadal change in the Asian seabass during the sex transition process
2022-10-20 | GSE122720 | GEO
Project description:Impact of antibiotics (T2) or antibiotics in combination with stress (T3) in early life on intestinal functioning in pigs on 8, 55, 176 days in jejunum and ileum (blood only day 8) and control pigs (T1)
2014-09-01 | GSE53170 | GEO
Project description:We report here the RNAseq data generated from a drought experiment using tomato leaves (Solanum lycopersicum), in which three timepoints and two treatments were collected. More specifically, RNAseq was generated from tomato plants prior to drought (T0), during a period of drought (T1) and after a period of recovery from drought (T2). At timepoints 1 and 2 (T1 & T2), a control set of plants that were continuously watered are also included. Furthermore, at each timepoint, each leaf was dissected into two parts, including the vein and intervein. The samples are therefore named as Tissue/Timepoint/Treatment, and include VT0W (vein, T0, watered), VT1W (vein, T1, watered), VT1D (vein, T1, drought), VT2D, VT2W and IVT0W (intervein, T0, Watered), IVT1D, IVT1W, IVT2D, IVT2W. Note that VT2D and IVT2D, while named "drought", were actually recovered from drought.
2020-10-31 | GSE156402 | GEO
Project description:mRNA was sampled during exponential growth phase (T1), beginning of stationary/production phase (T2), middle of production phase (T3-T4) and end of production phase (T5-T6) strains: Y. lipolytica Af4 - DHA producer (Gemperlein et al., 2019) and Y. lipolytica Po1h - wild type
2024-01-01 | GSE224529 | GEO
Project description:The purpose of this study was to detect the expression profile of tsRNA during deep hypothermia circulatory arrest, and to find possible regulatory factors according to the changes in its expression level, in the hope of providing an effective organ protection strategy for this process.Three blood samples were collected from a central veins line into ethylenediaminetetraacetic acid (EDTA) tubes as follows: T1 (before starting circulatory arrest), T2 (15 min after initiation of DHCA), T3 (after declamping the left common carotid artery and before rewarming). A total of 286 commonly expressed tsRNAs were identified in the T1 and T2 groups, 68 tsRNAs specifically expressed in the T1 group, and 44 tsRNAs specifically expressed in the T2 group. A total of 290 commonly expressed tsRNAs were identified in the T2 and T3 groups, 64 tsRNAs specifically expressed in the T2 group, and 43 tsRNAs specifically expressed in the T3 group. Next, four tsRNAs were selected to be verified by qRT-PCR. In summary, this study innovatively proposed the correlation between the deep hypothermic circulatory arrest process and the expression profile of tsRNA, and evaluated the expression level and regulation mode of tsRNA. A preliminary exploration of its potential biological role in the process of deep hypothermic circulatory arrest has been carried out, which can provide a better basis and a more comprehensive explanation for the organ protection mechanism of deep hypothermic circulatory arrest. And in further research, we are expected to achieve targeted protection of organs by overexpressing or inhibiting the corresponding tsRNA.
2023-04-29 | GSE171909 | GEO