|Run||Spots||Bases||Size||GC content||Published||Access Type|
This run has 2 reads per spot:
|L=26, 100%||L=26, 100%|
Technical read Application Read L=4, 100% Length is 4, 100% spots contain this read ̅L=165, σ=92.8, 66% Average length is 165, standard deviation is 92.8, 66% spots contain this read
|PRJNA287141||SRP059549||Single-cell RNA-seq reveals activation of unique gene groups as a consequence of stem cell-parenchymal cell fusion|
Fusion of donor mesenchymal stem cells with parenchymal cells of the recipient can occur in the brain, liver, intestine and heart following transplantation. The therapeutic benefit or detriment of resultant hybrids is unknown. Here we sought a global view of phenotypic diversification of mesenchymal stem cell-cardiomyocyte hybrids and associated time course. Using single-cell RNA-seq, we found hybrids consistently increase ribosome components and decrease genes associated with the cell cycle suggesting an increase in protein production and decrease in proliferation to accommodate the fused state. But in the case of most other gene groups, hybrids were individually distinct. In fact, though hybrids can express a transcriptome similar to individual fusion partners, approximately one-third acquired distinct expression profiles in a single day. Some hybrids underwent reprogramming, expressing pluripotency and cardiac precursor genes latent in parental cells and associated with developmental and morphogenic gene groups. Other hybrids expressed genes associated with ontologic cancer sets and two hybrids of separate experimental replicates clustered with breast cancer cells, expressing critical oncogenes and lacking tumor suppressor genes. Rapid transcriptional diversification of this type garners consideration in the context of cellular transplantation to damaged tissues, those with viral infection or other microenvironmental conditions that might promote fusion. Overall design: Examination was performed using single-cell RNA-seq of five fusion products (BiFC_D1_F1-5, 24 hours) identified using BiFC, twenty-three fusion products (DC_D1_F1-16, 24 hours; DC_D3_F1-7, 72 hours) identified using dual expression of GFP and mCherry, the parental controls, and the population controls (mMSC_PC and HL1cm_PC). Parental controls included 15 cells of each parental type isolated prior to co-culture (mMSC_1-15 and HL1cm_1-15) and 5 cells of each parental cell type isolated 24 hours after co-culture (mMSC_D1_1-5 and HL1cm_D1_1-5). In addition, a population containing a mixture of both parental cells and fusion products obtained 24 hours after co-culture was included (Mix_D1).
You need SRA Toolkit to operate on SRA runs.
Default toolkit configuration enables it to find and retrieve SRA runs by accession. It also downloads (and cache) only the part of data you really need. For example quality scores represent a majority of data volume and you may not need them if you dump fasta only (versus fastq). Or if you are looking at particular gene you may not need reads aligned to other regions or not aligned at all. Same way if you use GATK with enabled SRA support you need only SRA run accessions to fire your process.
fastq-dump will dump reads in a number of "standard" fastq and fasta formats.
vdb-dump is also capable of producing fasta and fastq (beside other formats). It dumps data much faster then fastq-dump but ordering of reads may be different and it does not produce split-read multi-file output.
Prefetch tool will help you cache all data in advance if you plan to run data analysis in environment where getting data from NCBI at run time is unfeasible.
Read more at SRA Knowledge Base on how to download SRA data using command line utilities.
The sections below show results of analysis run by software which is still in experimental stage. Please use provided results with a boatload of salt and let us know what you think.
-- SRA team
- Unidentified reads: 100%