ArticleScientific reports2016
Identification of Tissue-Specific Protein-Coding and Noncoding Transcripts across 14 Human Tissues Using RNA-seq.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
37 citing papers in PubMed, 56 citations in OpenAlex.
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- Integrative transcriptomic analysis reveals alternative splicing complexity and transcriptomic diversity in porcine placentas across altitudes.DNA research : an international journal for rapid publication of reports on genes and genomes · 2025Article
- Discovery of Novel Protein-Coding and Long Non-coding Transcripts in Distinct Regions of the Human Brain.Journal of molecular neuroscience : MN · 2025Article
- Expression Profiles of Housekeeping Genes and Tissue-Specific Genes in Different Tissues of Chinese Sturgeon (Animals : an open access journal from MDPI · 2024Article
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- Expression patterns of housekeeping genes and tissue-specific genes in black goats across multiple tissues.Scientific reports · 2024Article
- TransTEx: novel tissue-specificity scoring method for grouping human transcriptome into different expression groups.Bioinformatics (Oxford, England) · 2024Article
- Identification of region-specific gene isoforms in the human brain using long-read transcriptome sequencing.Science advances · 2024Article
- A Circular RNA Derived from the Pumilio 1 Gene Could Regulate PTEN in Human Cumulus Cells.Genes · 2024Article
- Actin-related protein ACTL7B ablation leads to OAT with multiple morphological abnormalities of the flagellum and male infertility in mice†.Biology of reproduction · 2023Article
- Spatial transcriptome analysis of long non-coding RNAs reveals tissue specificity and functional roles in cancer.Journal of Zhejiang University. Science. B · 2023Article
- RNA-Sequencing of Heterorhabditis nematodes to identify factors involved in symbiosis with Photorhabdus bacteria.BMC genomics · 2022Article
- Scatter Irradiation of Rat Brain Triggers Sex- and Brain Region-Specific Changes in the Expression of Non-Coding RNA Fragments.Epigenomes · 2022Article
- Pleiotropic Enhancers are Ubiquitous Regulatory Elements in the Human Genome.Genome biology and evolution · 2022Article
- Transcriptome sequencing reveals differences between leydig cells and sertoli cells of yak.Frontiers in veterinary science · 2022Article
- Compound heterozygous c.598_612del and c.1746-20C > G CAPN3 genotype cause autosomal recessive limb-girdle muscular dystrophy-1: a case report.BMC musculoskeletal disorders · 2021Article
- Comparability of reference-based and reference-free transcriptome analysis approaches at the gene expression level.BMC bioinformatics · 2021Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
Many diseases and adverse drug reactions exhibit tissue specificity. To better understand the tissue-specific expression characteristics of transcripts in different human tissues, we deeply sequenced RNA samples from 14 different human tissues. After filtering many lowly expressed transcripts, 24,729 protein-coding transcripts and 1,653 noncoding transcripts were identified. By analyzing highly expressed tissue-specific protein-coding transcripts (TSCTs) and noncoding transcripts (TSNTs), we found that testis expressed the highest numbers of TSCTs and TSNTs. Brain, monocytes, ovary, and heart expressed more TSCTs than the rest tissues, whereas brain, placenta, heart, and monocytes expressed more TSNTs than other tissues. Co-expression network constructed based on the TSCTs and TSNTs showed that each hub TSNT was co-expressed with several TSCTs, allowing functional annotation of TSNTs. Important biological processes and KEGG pathways highly related to the specific functions or diseases of each tissue were enriched with the corresponding TSCTs. These TSCTs and TSNTs may participate in the tissue-specific physiological or pathological processes. Our study provided a unique data set and systematic analysis of expression characteristics and functions of both TSCTs and TSNTs based on 14 distinct human tissues, and could facilitate future investigation of the mechanisms behind tissue-specific diseases and adverse drug reactions.
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Registered trials
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