Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Revealing novel transcribed sequences absent from the human reference genome by RNA-Seq

ABSTRACT: These two transcriptome sequencing datasets were generated from two reference RNA samples established by the US FDA-led MicroArray Quality Control project with Illumina next-generation sequencing technology. The reference RNA sample A (UHRR, Catalog #740000) consists of total RNA extracted from 10 human cell lines of various origins: Blymphocyte, brain, breast, cervix, liposarcoma, liver, macrophage, skin, testis and Tlymphocyte. Equal quantities of DNAase-treated total RNA from each cell line were pooled to generate the UHRR. The reference RNA sample B (HBRR, Catalog #6050) consists of total RNA extracted from several regions of the brains from 23 adult donors. Investigation of the completeness of human reference genome [SEQC Consortium].

ORGANISM(S): Homo sapiens

SUBMITTER: Tieliu Shi

PROVIDER: E-GEOD-30251 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Comparative analysis of human protein-coding and noncoding RNAs between brain and 10 mixed cell lines by RNA-Seq.

Chen Geng G Yin Kangping K Shi Leming L Fang Yuanzhang Y Qi Ya Y Li Peng P Luo Jian J He Bing B Liu Mingyao M Shi Tieliu T

PloS one 20111130 11

In their expression process, different genes can generate diverse functional products, including various protein-coding or noncoding RNAs. Here, we investigated the protein-coding capacities and the expression levels of their isoforms for human known genes, the conservation and disease association of long noncoding RNAs (ncRNAs) with two transcriptome sequencing datasets from human brain tissues and 10 mixed cell lines. Comparative analysis revealed that about two-thirds of the genes expressed b ...[more]

PMID: 22140575

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Project description:The MicroArray Quality Control (MAQC) project was initiated to address these concerns, as well as other performance and analysis issues. We demonstrate the consistency of results within a platform across test sites as well as the high level of cross-platform concordance in terms of genes identified as differentially expressed. The MAQC study provides a rich resource that will help build consensus on the use of microarrays in research, clinical and regulatory settings. Manuscripts related to the MAQC project have been published in Nature Biotechnology, 24(9), September, 2006. More information about the MAQC project can be found at http://edkb.fda.gov/MAQC/.<br><br>Expression data from two distinct reference RNA samples (A and B) in four titration pools were generated at multiple test sites using a variety of microarray-based and alternative technology platforms. Sample A = Stratagene Universal Human Reference RNA (UHRR, Catalog #740000), Sample B = Ambion Human Brain Reference RNA (HBRR, Catalog #6050), Sample C = Samples A and B mixed at 75%:25% ratio (A:B); and Sample D = Samples A and B mixed at 25%:75% ratio (A:B). In general, each microarray platform was tested at three sites and each sample was tested in five replicates at each test site. Samples (hybridizations) were named according to the following convention: Platform_Testsite_SampleRelicate. For example, AFX_2_B1 represents the hybridization (array) from platform AFX processed by test site 2 for the first replicate of sample B. Assignment of platform code: ABI = Applied Biosystems (microarray); AFX = Affymetrix; AG1 = Agilent one-color; AGL = Agilent two-color; GEH = GE Healthcare; ILM = Illumina; NCI = NCI two-color (Operon oligos); EPP = Eppendorf; TAQ = TaqMan (Applied Biosystems); QGN = QuantiGene (Panomics); GEX = StaRT-PCR (Gene Express); H25K = TeleChem two-color; H25K1 = TeleChem one-color; BIO = CapitalBio two-color (Operon oligos); BIO1 = CapitalBio one-color (Operon oligos); OPN = Operon two-color (Operon oligos); NMC = Norwegian Microarray Consortium two-color (Operon oligos).

Dataset Information

Revealing novel transcribed sequences absent from the human reference genome by RNA-Seq

Publications

Comparative analysis of human protein-coding and noncoding RNAs between brain and 10 mixed cell lines by RNA-Seq.

Similar Datasets

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