Comparison of IB4 positive vs. IB4 negative SNS-Cre/TdT neuron profiles

Differential expression analysis of microarray data from IB4+SNS-Cre/TdTomato+ neurons (n=3) vs. IB4-SNS-Cre/TdTomato+ neurons (n=3). These cells were sorted from the same animals. Transcripts are ranked by fold-change, with the following information given: Affymetrix ID, genebank accession number, gene symbol, description, average RMA normalized levels, standard deviation, fold-change, p-value and FDR

Comparison of IB4 positive vs. IB4 negative SNS-Cre/TdT neuron profiles

Differential expression analysis of microarray data from IB4+SNS-Cre/TdTomato+ neurons (n=3) vs. IB4-SNS-Cre/TdTomato+ neurons (n=3). These cells were sorted from the same animals. Transcripts are ranked by fold-change, with the following information given: Affymetrix ID, genebank accession number, gene symbol, description, average RMA normalized levels, standard deviation, fold-change, p-value and FDR

Data from: Transcriptional profiling at whole population and single cell levels reveals somatosensory neuron molecular diversity

The somatosensory nervous system is critical for the organism’s ability to respond to mechanical, thermal, and nociceptive stimuli. Somatosensory neurons are functionally and anatomically diverse but their molecular profiles are not well-defined. Here, we used transcriptional profiling to analyze the detailed molecular signatures of dorsal root ganglion (DRG) sensory neurons. We used two mouse reporter lines and surface IB4 labeling to purify three major non-overlapping classes of neurons: 1)IB4+SNS-Cre/TdTomato+, 2)IB4-SNS-Cre/TdTomato+, and 3)Parv-Cre/TdTomato+ cells, encompassing the majority of nociceptive, pruriceptive, and proprioceptive neurons. These neurons displayed distinct expression patterns of ion channels, transcription factors, and GPCRs. Highly parallel qRT-PCR analysis of 334 single neurons selected by membership of the three populations demonstrated further diversity, with unbiased clustering analysis identifying six distinct subgroups. These data significantly increase our knowledge of the molecular identities of known DRG populations and uncover potentially novel subsets, revealing the complexity and diversity of those neurons underlying somatosensation.The somatosensory nervous system is critical for the organism’s ability to respond to mechanical, thermal, and nociceptive stimuli. Somatosensory neurons are functionally and anatomically diverse but their molecular profiles are not well-defined. Here, we used transcriptional profiling to analyze the detailed molecular signatures of dorsal root ganglion (DRG) sensory neurons. We used two mouse reporter lines and surface IB4 labeling to purify three major non-overlapping classes of neurons: 1)IB4+SNS-Cre/TdTomato+, 2)IB4-SNS-Cre/TdTomato+, and 3)Parv-Cre/TdTomato+ cells, encompassing the majority of nociceptive, pruriceptive, and proprioceptive neurons. These neurons displayed distinct expression patterns of ion channels, transcription factors, and GPCRs. Highly parallel qRT-PCR analysis of 334 single neurons selected by membership of the three populations demonstrated further diversity, with unbiased clustering analysis identifying six distinct subgroups. These data significantly increase our knowledge of the molecular identities of known DRG populations and uncover potentially novel subsets, revealing the complexity and diversity of those neurons underlying somatosensation

Comparison of SNS-Cre/TdT vs. Parv-Cre/TdT neuron expression profiles

Differential expression analysis of microarray data from SNS-Cre/TdTomato+ neurons (n=4) vs. Parv-Cre/TdTomato+ neurons (n=4). Transcripts are ranked by fold-change, with the following information given: Affymetrix ID, genebank accession number, gene symbol, description, average RMA normalized levels, standard deviation, fold-change, p-value and FDR

Effect of amount of Cu on the intermetallic layer thickness between Sn-Cu solders and Cu substrates

10.1007/s11664-009-0925-xJournal of Electronic Materials38122479-2488JECM

The anatomical relationship between the aorta and the thoracic vertebral bodies and its importance in the placement of the screw in thoracoscopic correction of Scoliosis

Thoracoscopically-assisted anterior spinal instrumentation is being used widely to treat adolescent idiopathic scoliosis (AIS). Recent studies have showed that screws placed thoracoscopically could counter the aorta or entrance into the spinal canal. There are a few studies defining the anatomic landmarks to identify the relationship between the aorta and the thoracic vertebral body using quantitative measurement for the sake of safe placement of thoracoscopic vertebral screw in anterior correction for AIS. The CT scanning from T4 to T12 in 64 control subjects and 30 AIS patients from mainland China were analyzed manually. Parameters to be measured included the angle for safety screw placement (α), the angle of the aorta relative to the vertebral body (β), the distance from the line between the left and the right rib heads to the anterior wall of the vertebral canal (a), the distance from the left rib head to posterior wall of the aorta (b), the vertebral body transverse diameter (c) and vertebral rotation (γ). No significant differences were found between the groups with respect to age or sex. Compared with the control group, α angle from T7 to T10, β angle from T5 to T10 and b value at T9, T10 were significantly lower in the scoliotic group. The a value was significantly lower in the scoliotic group. The c value showed no significant difference between the two groups. In conclusion, to place the thoracoscopic vertebral screw safely, at the cephalad thoracic spine (T4–T6), the maximum ventral excursion angle should decrease gradually from 20° to 5°, the entry-point of the screw should be close to the rib head. For apical vertebrae (T7–T9), the maximum ventral excursion angle increased gradually from 5° to 12°. At the caudal thoracic spine (T10–T12), the maximum ventral excursion angle increased, the entry-point should shift 3∼5 mm ventrally