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Transcriptome analysis discloses dysregulated genes in normal appearing tumor-adjacent thyroid tissues from patients with papillary thyroid carcinoma

GSE165724 Homo sapiens (human) RNA-seq (gene expression) 74 samples Submitted 2021/01/29 Platform GPL16791
At a glance

RNA-seq (gene expression) · human · 74 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Topic
Thyroid cancerThis series is part of our curated briefing on it.
Samples
74 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Summary (written by the submitters)
Papillary thyroid carcinoma (PTC) is the most common type of thyroid cancer. Histologically normal appearing tissue adjacent to the tumor (NAT) from PTC patients is commonly used as a control in thyroid cancer studies, but the molecular characteristics of NAT tissue are not well characterized. The aim of this study was to characterize the global gene expression profile of NAT and compare it with those of normal and tumor thyroid tissues.
Read the full summary ↓
We performed RNA sequencing of three categories of thyroid tissue samples including NAT, normal thyroid (N), and PTC tumor (T). Transcriptome analysis shows that NAT presents a unique gene expression profile, which was not associated with sex and the presence of lymphocytic thyroiditis. Among the differentially expressed genes (DEGs) of NAT vs N, 247 coding genes and 6 noncoding genes have been reported as cancer genes, being involved in cell proliferation, apoptosis, and tumorigenesis. In addition, dysregulated expression of ribosomal and small RNAs was identified in NAT. IPA analyses revealed that “Cellular Response to Therapeutics, Cardiovascular Disease, Organismal Injury and Abnormalities, Cancer, and Cellular Movement” appeared as major dysregulated pathways in the NAT tissues. This study provides a comprehensive study of the PTC transcriptome, which provides improved insight into the complexity of gene expression changes during PTC tumorigenesis.
This dataset
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE165724_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA695543 and SRA study SRP303687. Searching any of these in the dataset finder brings you back here.

Samples in this study

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