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Multiple Myeloma

Overview of attention for book
Cover of 'Multiple Myeloma'

Table of Contents

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    Book Overview
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    Chapter 1 ELDA qASO-PCR for High Sensitivity Detection of Tumor Cells in Bone Marrow and Peripheral Blood
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    Chapter 2 EuroFlow-Based Next-Generation Flow Cytometry for Detection of Circulating Tumor Cells and Minimal Residual Disease in Multiple Myeloma
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    Chapter 3 Cytoplasmic Immunoglobulin Vs. DNA Analysis by Flow Cytometry
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    Chapter 4 Deep Profiling of the Immune System of Multiple Myeloma Patients Using Cytometry by Time-of-Flight (CyTOF)
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    Chapter 5 Fluorescence In Situ Hybridization (FISH) in Multiple Myeloma
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    Chapter 6 Whole Exome Sequencing in Multiple Myeloma to Identify Somatic Single Nucleotide Variants and Key Translocations Involving Immunoglobulin Loci and MYC
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    Chapter 7 RNA-Sequencing from Low-Input Material in Multiple Myeloma for Application in Clinical Routine
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    Chapter 8 Protocol for M 3 P: A Comprehensive and Clinical Oriented Targeted Sequencing Panel for Routine Molecular Analysis in Multiple Myeloma
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    Chapter 9 Analysis of Circulating Tumor DNA
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    Chapter 10 Detection of Cross-Sample Contamination in Multiple Myeloma Samples and Sequencing Data
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    Chapter 11 Analysis of Global Gene Expression Profiles
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    Chapter 12 Genome Wide Mapping of Methylated and Hydroxyl-Methylated Cytosines Using a Modified HpaII Tiny Fragment Enrichment by Ligation Mediated PCR Tagged Sequencing Protocol
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    Chapter 13 A Rapid and Robust Protocol for Reduced Representation Bisulfite Sequencing in Multiple Myeloma
  15. Altmetric Badge
    Chapter 14 Microfluidic Production and Application of Lipid Nanoparticles for Nucleic Acid Transfection
  16. Altmetric Badge
    Chapter 15 Microfluidic Assembly of Liposomes with Tunable Size and Coloading Capabilities
Attention for Chapter 9: Analysis of Circulating Tumor DNA
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Chapter title
Analysis of Circulating Tumor DNA
Chapter number 9
Book title
Multiple Myeloma
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7865-6_9
Pubmed ID
Book ISBNs
978-1-4939-7864-9, 978-1-4939-7865-6
Authors

Sridurga Mithraprabhu, Andrew Spencer, Mithraprabhu, Sridurga, Spencer, Andrew

Abstract

Circulating tumor DNA (ctDNA) analysis is currently gaining momentum as an innovative methodology for characterizing the tumor genome and monitoring therapeutic efficacy in the multifocal, genetically and spatially heterogeneous plasma cell malignancy, multiple myeloma (MM). Circulating cell-free DNA (cfDNA), which consists of a combination of DNA derived from both tumor and normal cells, is present in extracellular bodily fluids. The presence of ctDNA within this admixture has been demonstrated recently in MM. In this chapter, we describe the routinely utilized methodology for the extraction and longitudinal analysis of specific mutations present in ctDNA derived from peripheral blood plasma of MM patients.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Other 4 18%
Student > Master 4 18%
Researcher 4 18%
Student > Ph. D. Student 1 5%
Professor > Associate Professor 1 5%
Other 0 0%
Unknown 8 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 27%
Medicine and Dentistry 6 27%
Agricultural and Biological Sciences 2 9%
Unknown 8 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 May 2018.
All research outputs
#15,530,583
of 23,081,466 outputs
Outputs from Methods in molecular biology
#5,409
of 13,201 outputs
Outputs of similar age
#270,076
of 442,597 outputs
Outputs of similar age from Methods in molecular biology
#596
of 1,499 outputs
Altmetric has tracked 23,081,466 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,201 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 442,597 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.