Unknown,Transcriptomics,Genomics,Proteomics

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High-throughput sequencing of mouse liver transcriptome in Clock mutant animals

ABSTRACT: Circadian profile of polyA RNA by RNA-Seq, collected from Clock?19 mouse liver at CT22, CT28, CT34, CT40. RNA from three livers pooled per time point. 4 Clock mutant samples with no replicates

ORGANISM(S): Mus musculus

SUBMITTER: Nicholas Lahens

PROVIDER: E-GEOD-41082 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Background RNA sequencing (RNA-seq) is a powerful technique for identifying and quantifying transcription and splicing events, both known and novel. However, given its recent development and the proliferation of library construction methods, understanding the bias it introduces is incomplete but critical to realizing its value. Results Here we present a method, in vitro transcription sequencing (IVT-seq), for identifying and assessing the technical biases in RNA-seq library generation and sequencing at scale. We created a pool of > 1000 in vitro transcribed (IVT) RNAs from a full-length human cDNA library and sequenced them with poly-A and total RNA-seq, the most common protocols. Because each cDNA is full length and we show IVT is incredibly processive, each base in each transcript should be equivalently represented. However, with common RNA-seq applications and platforms, we find ~50% of transcripts have > 2-fold and ~10% have > 10-fold differences in within-transcript sequence coverage. Strikingly, we also find > 6% of transcripts have regions of high, unpredictable sequencing coverage, where the same transcript varies dramatically in coverage between samples, confounding accurate determination of their expression. To get at causal factors, we used a combination of experimental and computational approaches to show that rRNA depletion is responsible for the most significant variability in coverage and that several sequence determinants also strongly influence representation. Conclusions In sum, these results show the utility of IVT-seq in promoting better understanding of bias introduced by RNA-seq and suggest caution in its interpretation. Furthermore, we find that rRNA-depletion is responsible for substantial, unappreciated biases in coverage. Perhaps most importantly, these coverage biases introduced during library preparation suggest exon level expression analysis may be inadvisable. 5 rRNA-depleted samples with duplicates, 1 polyA selected, 1 total RNA, and 1 plasmid library all without replicates.

Project description:G protein coupled receptor (GPCR) signaling in osteoblasts (OBs) is an important regulator of bone formation. We previously described a mouse model expressing Rs1, an engineered constitutively active Gs-coupled GPCR, under the control of the 2.3 kb-Col I promoter. These mice showed a dramatic age-dependent increase in trabecular bone which were accompanied by an increase in OB lineage cells, especially immature OBs, indicated by an expansion of cells expressing Osterix and Runx2 in the whole femur. In this study, we further evaluated how Gs signaling in OBs affects intramembranous bone formation by examining calvariae of one-and nine-week-old Col1(2.3)/Rs1 mice. Rs1 calvariae displayed a dramatic increase in total volume and trabecular bone volume with partial loss of cortical structure. By immunohistochemistry, Osterix was detected in cells throughout the inter-trabecular space in Rs1 expressing mice while Osteocalcin was expressed predominantly in cells along bone surfaces. These findings resembled that previously seen in Rs1 femoral bones, suggesting the role of paracrine mediators secreted from OBs driven by 2.3 kb-Col I promoter could influence early OB commitment, differentiation, and/or proliferation. However, it is still unclear how G protein signaling in mature OBs leads to the observed alterations in bone mass. In this study, we investigated the cellular basis of the skeletal changes by assessing the effect of Rs1 expression in vivo on the transcriptome of mature OBs. We identified the complete set of Gs-GPCRs and other GPCRs that are expressed on OBs which may contribute to the observed skeletal phenotype. Candidate paracrine mediators of the effect of Gs signaling in OBs were determined. Genes affected by Rs1 signaling include those encoding proteins important for cell differentiation, cytokines and growth factors, angiogenesis, coagulation, and energy metabolism. Our results identify novel candidate mediators of the anabolic response to the skeleton to Gs signaling in mature OBs. We utilized a microarray approach to examine Rs1-induced alterations in the OB transcriptome. The approach used to identify an approximate snapshot of the OB transcriptome at the time of sacrifice by isolating the OB population that expresses Rs1 by GFP labeling, without the use of cell culture. We compared gene expression between control OBs and OBs-expressing Rs1 in triplicates.