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TranscriptomicsRNA at 92 M-BM-0C: the non-coding transcriptome of the hyperthermophilic archaeon Pyrococcus abyssi.
The non-coding transcriptome of the hyperthermophilic archaeon Pyrococcus abyssi is investigated using the RNA-seq technology. A dedicated computational pipeline analyzes RNA-seq reads and prior genome annotation to identify small RNAs, untranslated regions of mRNAs, and cis-encoded antisense transc...
ORGANISM(S): Pyrococcus abyssi 
2014-05-31 | E-GEOD-58131 | biostudies-arrayexpress
ProteomicsLong non-coding RNA pull down-MS
long non-coding RNA pull down-MS and protein candidates bind to LRTOR
ORGANISM(S): Homo Sapiens 
PXD055610 |
TranscriptomicsControl of Somatic Tissue Differentiation by the Long Non-Coding RNA TINCR (HTS)
Several of the thousands of human long non-coding RNAs (lncRNAs) have been functionally characterized; however, potential roles for lncRNAs in somatic tissue differentiation remain poorly understood. Here we show that a 3.7kb lncRNA, terminal differentiation-induced ncRNA (TINCR), controls human epi...
ORGANISM(S): Homo sapiens 
2012-10-10 | E-GEOD-40121 | biostudies-arrayexpress
ModelsDhawan2019 - Endogenous miRNA sponges mediate the generation of oscillatory dynamics for a non-coding RNA network
This is a delay differential equation model showing how non-coding RNA, acting as microRNA (miRNA) sponges in a conserved RNA-transcription factor feedback motif, can five rise to oscillatory behaviour.
2024-09-02 | BIOMD0000000841 | BioModels
ModelsDeshpande2019 - Random Forest model to predict long non-coding RNAs from coding RNAs in Zea Mays plant transcriptomic data
This is a Random Forest algorithm-based machine learning model to predict lncRNAs from coding mRNAs in plant transcriptomic data. The model assigns 1 for coding sequences and 2 for long non-coding sequences. The prediction is performed using a combination of Open Reading Frame (ORF) based, Sequence-...
2024-12-09 | BIOMD0000001067 | BioModels
Machine Learning Model FAIR-AIML 
GenomicsCustom long non-coding RNA capture enhances detection sensitivity in different human sample types.
Long non-coding RNAs (lncRNAs) are a heterogeneous group of transcripts that lack protein coding potential and display regulatory functions in various cellular processes. As a result of their cell- and cancer-specific expression patterns, lncRNAs have emerged as potential diagnostic and therapeutic ...
EGAS00001005418 | EGA
TranscriptomicsLong non-coding RNA expression profiling in the NCI60 cancer cell line panel using high-throughput RT-qPCR
Long non-coding RNAs (lncRNAs) form a new class of RNA molecules implicated in various aspects of protein coding gene expression regulation. To study lncRNAs in cancer, we generated expression profiles for 1708 human lncRNAs in the NCI60 cancer cell line panel using a high-throughput nanowell RT-qPC...
ORGANISM(S): Homo sapiens 
2016-06-29 | E-GEOD-80332 | biostudies-arrayexpress
ProteomicsComprehensive Identification of Soybean Long Non-coding RNAs Reveals a Subset of Small Peptide-Coding Transcripts
Long non-coding RNAs (lncRNAs) are defined as non-protein-coding transcripts that are at least 200 nucleotides long. They are known to play pivotal roles in regulating gene expression, especially during stress responses in plants. We used a large collection of in-house transcriptome data from variou...
ORGANISM(S): Glycine max 
2020-01-09 | PXD014553 | Pride
Long non-coding rna Proteomics Soybean Small peptide Transcriptomics 
TranscriptomicsLong RNA Seq on Sham vs MI Adult Mouse Heart
We systematically identified, annotated and characterised the mouse long non-coding transcriptome during myocardial infarction, revealing hundreds of novel heart specific lncRNAs with unique functional and regulatory characteristics. 2 conditions, 4 biological replicates per condition
ORGANISM(S): Mus musculus 
2014-05-06 | E-GEOD-52313 | biostudies-arrayexpress
TranscriptomicsLong non-coding RNA landscape in human monocytes
We report the lncRNAs transcribed in the human primary monocyte cells. We performed deep RNA sequencing from four healthy individuals. In addition, the raw RNA-Seq data from 11 human monocyte samples were selected from public databases and generated a total ~1.7 billion reads. We identified ~ 8,000 ...
ORGANISM(S): Homo sapiens 
2016-02-19 | E-GEOD-69753 | biostudies-arrayexpress
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