journal cover

Linear mRNA amplification approach for RNAseq from limited amount of RNA

Gene

Apr 2, 2015

Elisa N FerreiraD M Carraro

Abstract

Whole-transcriptome evaluation by next-generation sequencing (NGS) has been widely applied in the investigation of diverse transcriptional scenarios. In many clinical situations, including needle biopsy samples or laser microdissected cells, limited amounts of RNA are usually available ...read more

Mentioned in this Paper

Real-Time Polymerase Chain Reaction
ErbB-2 Receptor
Tumor Cells, Uncertain Whether Benign or Malignant
Research
Polymerase
Arcturus
Gene Amplification
RNA library
Tumor Tissue Sample
Mammary Gland
2
41
Paper Details
References
  • References36
  • Citations
1234
  • References36
  • Citations
  • quote and clock

    No citations available

    This paper may not have been cited yet.

Similar Papers Found In These Feeds

Single Cell Resolution of Human Breast Cell

Examining the genomics, transcriptomics, proteomics, and metabolomics of the human breast at the single cell level will help build a single cell atlas of breast, which would give a unique ID card for each cell type, a three-dimensional map of how cell types work together to form tissues, and insights into how changes in the map underlie health and disease of the breast. Disocver the latest research on the single cell resolution of the human breast here.

Human Tumor Atlas

The Human Tumor Atlas is a collaborative project that uses detailed maps of a variety of cancers to investigate cancer development, metastasis, and treatments.

Cancer Genomics (Keystone)

Cancer genomics approaches employ high-throughput technologies to identify the complete catalog of somatic alterations that characterize the genome, transcriptome and epigenome of cohorts of tumor samples. Discover the latest research using such technologies in this feed.

MicroRNAs in prostate cancer

MicroRNAs are small non-coding RNAs that modulate gene expression at post-transcriptional level, playing a crucial role in diseases such as prostate cancer. Discover the latest research on MicroRNAs in prostate cancer.

Cell Checkpoints & Regulators

Cell cycle checkpoints are a series of complex checkpoint mechanisms that detect DNA abnormalities and ensure that DNA replication and repair are complete before cell division. They are primarily regulated by cyclins, cyclin-dependent kinases, and the anaphase-promoting complex/cyclosome. Here is the latest research.

Single Cell Resolution of Human Breast Cell

Examining the genomics, transcriptomics, proteomics, and metabolomics of the human breast at the single cell level will help build a single cell atlas of breast, which would give a unique ID card for each cell type, a three-dimensional map of how cell types work together to form tissues, and insights into how changes in the map underlie health and disease of the breast. Disocver the latest research on the single cell resolution of the human breast here.

Cancer Genomics

Cancer genomics employ high-throughput technologies to identify the complete catalog of somatic alterations that characterize the genome, transcriptome and epigenome of cohorts of tumor samples. Discover the latest research here.

Hormone-Related Cancers

This feed focuses on hormone-related cancers including cancer of the breast, endometrium, ovary, prostate, testis, thyroid, and bone, all of which share unique mechanisms of carcinogenesis. Here is the latest research.

Exocrine Glands

Exocrine glands are a specific type of gland which contains ducts that secrete a specialized substance to a surface, such as the salivary glands, respiratory and gastrointestinal glands. Diseases can affect the exocrine glands and impair their normal functioning. Discover the latest research on exocrine glands here.

Prostate Adenocarcinoma

Prostate cancer is one of the most common types of cancer in men. Age, race, family history, and obesity are factors associated with increased prostate cancer risk. Here is the latest research on prostate adenocarcinoma.

Related Papers

Methods in Molecular Biology

Retinal transcriptome profiling by directional next-generation sequencing using 100 ng of total RNA

Methods in Molecular BiologyJune 13, 2012
Matthew J BrooksAnand Swaroop
© 2020 Meta ULC. All rights reserved

Linear mRNA amplification approach for RNAseq from limited amount of RNA

Gene

Apr 2, 2015

Elisa N FerreiraD M Carraro

PMID: 25827286

DOI: 10.1016/j.gene.2015.03.058

Abstract

Whole-transcriptome evaluation by next-generation sequencing (NGS) has been widely applied in the investigation of diverse transcriptional scenarios. In many clinical situations, including needle biopsy samples or laser microdissected cells, limited amounts of RNA are usually available ...read more

Mentioned in this Paper

Real-Time Polymerase Chain Reaction
ErbB-2 Receptor
Tumor Cells, Uncertain Whether Benign or Malignant
Research
Polymerase
Arcturus
Gene Amplification
RNA library
Tumor Tissue Sample
Mammary Gland
2
41

Similar Papers Found In These Feeds

Single Cell Resolution of Human Breast Cell

Examining the genomics, transcriptomics, proteomics, and metabolomics of the human breast at the single cell level will help build a single cell atlas of breast, which would give a unique ID card for each cell type, a three-dimensional map of how cell types work together to form tissues, and insights into how changes in the map underlie health and disease of the breast. Disocver the latest research on the single cell resolution of the human breast here.

Human Tumor Atlas

The Human Tumor Atlas is a collaborative project that uses detailed maps of a variety of cancers to investigate cancer development, metastasis, and treatments.

Related Papers

Methods in Molecular Biology

Retinal transcriptome profiling by directional next-generation sequencing using 100 ng of total RNA

Methods in Molecular BiologyJune 13, 2012
Matthew J BrooksAnand Swaroop
Paper Details
References
  • References36
  • Citations
1234
  • References36
  • Citations
  • quote and clock

    No citations available

    This paper may not have been cited yet.
/papers/linear-mrna-amplification-approach-for-rnaseq/25827286