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Series GSE81507 Query DataSets for GSE81507
Status Public on Aug 02, 2016
Title Post-transcriptional manipulation of TERC reverses molecular hallmarks of telomere disease
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary The telomerase RNA component (TERC) is a critical determinant of cellular self renewal. Poly(A)-specific ribonuclease (PARN) is required for post-transcriptional maturation of TERC. PARN mutations lead to incomplete 3′ end processing and increased destruction of nascent TERC RNA transcripts, resulting in telomerase deficiency and telomere diseases. Here, we determined that overexpression of TERC increased telomere length in PARN-deficient cells and hypothesized that decreasing post-transcriptional 3′ oligo-adenylation of TERC would counteract the deleterious effects of PARN mutations. Inhibition of the noncanonical poly(A) polymerase PAP-associated domain–containing 5 (PAPD5) increased TERC levels in PARN-mutant patient cells. PAPD5 inhibition was also associated with increases in TERC stability, telomerase activity, and telomere elongation. Our results demonstrate that manipulating post-transcriptional regulatory pathways may be a potential strategy to reverse the molecular hallmarks of telomere disease.
 
Overall design mRNA sequencing of induced pluripotent stem cells and 293 cell line.
 
Contributor(s) Boyraz B, Agarwal S
Citation(s) 27482890
Submission date May 17, 2016
Last update date May 15, 2019
Contact name Patrick Cahan
E-mail(s) [email protected]
Organization name Johns Hopkins University School of Medicine
Department ICE and Biomedical Engineering
Lab Cahan Lab
Street address 733 North Broadway, MRB 653
City Baltimore
State/province MD
ZIP/Postal code 21205
Country USA
 
Platforms (1)
GPL16791 Illumina HiSeq 2500 (Homo sapiens)
Samples (8)
GSM2154963 HEK 293 ctrl KD
GSM2154964 HEK 293 PAPD5 KD
GSM2154965 WT iPSC ctrl KD
Relations
BioProject PRJNA321841
SRA SRP075264

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Supplementary file Size Download File type/resource
GSE81507_expBoyraz.csv.gz 1.2 Mb (ftp)(http) CSV
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Raw data are available in SRA
Processed data are available on Series record

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