Single Source Profiles

Single-source profiles are DNA profiles generated from biological evidence containing genetic material from one individual, making them a foundational concept in forensic biology and human identification. Analysts extract DNA, amplify selected short tandem repeat (STR) loci using polymerase chain reaction, and separate the resulting fluorescently labeled fragments by capillary electrophoresis to determine an individual’s allele pattern. The resulting profile can be compared with reference samples to support identity assessments, exclude individuals, investigate biological relationships, or associate evidence with a person. Understanding single-source profiles also provides a basis for interpreting more complex mixtures containing DNA from multiple contributors.

Single Source Profiles - Related Videos

Research

JoVE Journal - Neuroscience

Single-cell Profiling of Developing and Mature Retinal Neurons

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Cited by 13 •

2012

A method for the isolation of single retinal cells and subsequent amplification of their cDNAs is described. Single-cell transcriptomics reveals the degree of cellular heterogeneity present in a tissue and uncovers new marker genes for rare cell populations. The accompanying protocol can be adjusted to suit many different cell types.

Research

JoVE Journal - Biology
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Single Cell Transcriptional Profiling of Adult Mouse Cardiomyocytes

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Cited by 13 •

2011

Single cell expression profiling allows the detailed gene expression analysis of individual cells. We describe methods for the isolation of cardiomyocytes, and preparing the resulting lysates for either whole transcriptome microarray or qPCR of specific targets.

Research

JoVE Journal - Biology
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Open-source Single-particle Analysis for Super-resolution Microscopy with VirusMapper

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Cited by 9 •

2017

This manuscript uses the Fiji-based open-source software package VirusMapper to apply single-particle analysis to super-resolution microscopy images in order to generate precise models of nanoscale structure.

Research

JoVE Journal - Biochemistry
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Making Precise and Accurate Single-Molecule FRET Measurements using the Open-Source smfBox

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Cited by 2 •

2021

This article provides step-by-step instructions for making fully-corrected accurate FRET measurements on individual, freely diffusing biomolecules using the open-source, inexpensive smfBox, from switch on, through alignment and focusing, to data collection and analysis.

Single-cell Gene Expression Profiling Using FACS and qPCR with Internal Standards

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Cited by 7 •

2017

We describe a method to sort single mammalian cells and to quantify the expression of up to 96 target genes of interest in each cell. This method includes the use of internal qPCR standards to enable the estimation of absolute transcript counts.

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