GEO DataSets

(Submitter supplied) mRNA expression was assayed from bronchial epithelial cell samples from smokers with and without lung cancer. A subset of the samples (2 of the lung cancer samples and 3 of the no cancer samples) were pooled and underwent whole transcriptome sequencing. The goals were to compare whole transcriptome sequencing gene expression levels to gene expression levels derived from these samples run on the Affymetrix HGU133A 2.0 platform.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL13447

13 Samples

Download data: CEL

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by array; Expression profiling by high throughput sequencing

Platforms:

GPL13447 GPL10999

21 Samples

Download data: BEDGRAPH, CEL, TXT

(Submitter supplied) mRNA expression was profiled from pooled bronchial airway epithelial cell brushings (n=3 patients/pool) obtained during bronchoscopy from healthy never (NS) and current smokers (S) and smokers with (C) and without (NC) lung cancer

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL10999

8 Samples

Download data: BEDGRAPH, GTF, TXT

(Submitter supplied) Comparison of gene and protein expression in the large airway epithelium of never and current smokers. Keywords: gene expression array-based (RNA / in situ oligonucleotide)

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL96

8 Samples

Download data: CEL

(Submitter supplied) We have previously shown that gene-expression alterations in cytologically normal appearing bronchial epithelial cells can be used as a biomarker for lung cancer detection in smokers (Whitney et al., BMC Medical Genomics 2015; Silvestri et al., NEJM 2015). In this study, we have established that there are also alterations in bronchial microRNA-expression of smokers with lung cancer. Importantly, the performance of an existing bronchial mRNA-biomarker has been improved by integrating microRNA with mRNA expression.

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by high throughput sequencing

Platform:

GPL11154

347 Samples

Download data: CSV

(Submitter supplied) Smoking is the leading cause of lung cancer death, although only a small percentage of smokers develop the disease. Cigarette smoke exposure is known to cause a field of injury in cells throughout the respiratory tract, and while these airway epithelial cells are morphologically normal, they can undergo genetic alterations in response to cigarette smoke exposure. We used microarrays to analyze the gene expression of epithelial cells in the extrathoracic epithelium, specifically nasal and buccal epithelium, to see if these cells underwent similar genetic alterations in response to tobacco exposure as seen in bronchial epithelial cells as has been previously reported. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Datasets:

GDS3054 GDS3309

Platforms:

GPL571 GPL96

25 Samples

Download data: CEL, CHP, EXP

Analysis of nasal epithelia from cigarette smokers. Cigarette smoke creates a field of injury in epithelial cells lining the respiratory tract. Results extend the concept of a smoking-induced field of injury beyond intrathoracic (bronchial) epithelia to extrathoracic epithelia that line the nose.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 2 agent sets

Platform:

GPL571

Series:

GSE8987

15 Samples

Download data: CEL, CHP, EXP

Analysis of buccal epithelia from cigarette smokers. Cigarette smoke creates a field of injury in epithelial cells lining the respiratory tract. Results extend the concept of a smoking-induced field of injury beyond intrathoracic (bronchial) epithelia to extrathoracic epithelia that line the mouth.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 2 agent sets

Platform:

GPL96

Series:

GSE8987

10 Samples

Download data: CEL, CHP, EXP

(Submitter supplied) Cigarette smoking is the main risk factor for the development of squamous cell lung carcinoma (SCC). However, the smoking-related molecular changes in SCC have not been studied. We wanted to identify genes in both histologically normal bronchial epithelium and SCC samples that are differentially expressed between current and ex-smokers. In addition, to analyze the levels of the smoking-related genes identified in normal bronchial epithelium with the levels in SCC. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL1708

62 Samples

Download data: PDF, TXT

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL16791

133 Samples

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(Submitter supplied) While lung cancer is the leading cause of cancer death in the US, we have a limited understanding of the earliest molecular events preceding the onset of disease. Prior work has demonstrated that cigarette smoke creates a molecular “field of injury” throughout the airway epithelium and that there are distinct alterations in the airway transcriptome among smokers who have lung cancer. Molecular characterization of this airway “field of injury” in current and former smokers with premalignant lesions (PMLs) could provide novel insights into the earliest molecular events associated with lung carcinogenesis and identify relatively accessible biomarkers to guide lung cancer detection and early intervention. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL16791

51 Samples

Download data: TSV

(Submitter supplied) While lung cancer is the leading cause of cancer death in the US, we have a limited understanding of the earliest molecular events preceding the onset of disease. Prior work has demonstrated that cigarette smoke creates a molecular “field of injury” throughout the airway epithelium and that there are distinct alterations in the airway transcriptome among smokers who have lung cancer. Molecular characterization of this airway “field of injury” in current and former smokers with premalignant lesions (PMLs) could provide novel insights into the earliest molecular events associated with lung carcinogenesis and identify relatively accessible biomarkers to guide lung cancer detection and early intervention. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL16791

82 Samples

Download data: TSV

(Submitter supplied) Objectives: The sequencing by the PolyA selection is the most common approach for library preparation. With limited amount or degraded RNA, alternative protocols such as the NuGEN have been developed. However, it is not yet clear how the different library preparations affect the downstream analyses of the broad applications of RNA sequencing. Methods and Materials: Eight human mammary epithelial cell (HMEC) lines with high quality RNA were sequenced by Illumina’s mRNA-Seq PolyA selection and NuGEN ENCORE library preparation. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL11154 GPL10999

16 Samples

Download data: TXT

(Submitter supplied) 2 normal lung parenchyma SAGE libraries, generated from 2 pools of 4 individuals each Discussed in the study: IDENTIFICATION OF NOVEL LUNG GENES IN BRONCHIAL EPITHELIUM BY SERIAL ANALYSIS OF GENE EXPRESSION Kim M. Lonergan1, Raj Chari1, Ronald J. deLeeuw1, Ashleen Shadeo1, Bryan Chi1, Ming-Sound Tsao2, Steven Jones3, Marco Marra3, Victor Ling1, Raymond Ng1,4, Calum MacAulay5, Stephen Lam5 and Wan L. more...

Organism:

Homo sapiens

Type:

Expression profiling by SAGE

Platform:

GPL4

2 Samples

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(Submitter supplied) 40 current smokers and 40 age- and gender- matched never smokers underwent buccal biopsies.The study had four objectives: (a) to define the effects of smoking on the transcriptome of oral epithelial cells; (b) to determine if any of the effects of tobacco smoke on the transcriptome are gender-dependent; (c) to compare the effects of tobacco smoke exposure on the transcriptome in oral v. bronchial epithelium and (d) to identify agents with the potential to suppress the effects of tobacco smoke on the transcriptome. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS3709

Platform:

GPL570

79 Samples

Download data: CEL

Analysis of oral mucosae from 40 cigarette smokers and 40 age and gender matched never-smokers. Results provide insight into the carcinogenic effects of cigarette smoke.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 2 agent, 2 gender sets

Platform:

GPL570

Series:

GSE17913

79 Samples

Download data: CEL

(Submitter supplied) We previously derived and validated a bronchial epithelial gene expression biomarker to detect lung cancer in current and former smokers. Given that bronchial and nasal epithelium gene expression is similarly altered by cigarette smoke exposure, we sought to determine if cancer-associated gene expression might also be detectable in more readily accessible nasal epithelium. Nasal epithelial brushings were prospectively collected from current and former smokers with pulmonary lesions suspicious for lung cancer in the AEGIS-1 (n=375) and AEGIS-2 (n=130) clinical trials and gene expression profiled using microarrays. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6244

505 Samples

Download data: CEL

(Submitter supplied) Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived retinal transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis. Methods: Retinal mRNA profiles of 21-day-old wild-type (WT) and neural retina leucine zipper knockout (Nrl−/−) mice were generated by deep sequencing, in triplicate, using Illumina GAIIx. more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL11002

6 Samples

Download data: BAM, TXT, XLS

(Submitter supplied) Methods: RNA-sequencing was performed on matched samples obtained across several different gene expression measurement methods including: (a) fresh-frozen (FF) RNA samples by mRNA-seq, Ribo-zero and DSN and (b) FFPE samples by Ribo-zero and DSN. We also assayed the matched samples with Agilent microarray. RNA-seq data was compared on the rRNA-removal efficiency, genome profile, library complexity, coverage uniformity and quantitative cosinstency across protocols and with microarray data. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing; Expression profiling by array

Platforms:

GPL8269 GPL11154

59 Samples

Download data: TXT

(Submitter supplied) 24 SAGE libraries comprising of 8 current smokers, 12 former smokers and 4 never smokers. Keywords: SAGE, gene expression, current, former, never, smokers

Organism:

Homo sapiens

Type:

Expression profiling by SAGE

Platform:

GPL4

24 Samples

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