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resource source identifier antibodies jo urn al pr e p roo f 22 cd9 cst  (Cell Signaling Technology Inc)


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    Cell Signaling Technology Inc resource source identifier antibodies jo urn al pr e p roo f 22 cd9 cst
    Resource Source Identifier Antibodies Jo Urn Al Pr E P Roo F 22 Cd9 Cst, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/als-cst/10__1016_slash_j__isci__2026__115069-215-10-23
    Average 86 stars, based on 1 article reviews
    resource source identifier antibodies jo urn al pr e p roo f 22 cd9 cst - by Bioz Stars, 2026-09
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    Related Articles

    Magnetic Resonance Imaging:

    Article Title: Differing patterns of cortical grey matter pathology identified by multifractal analysis in UMN-predominant ALS patients with and without corticospinal tract hyperintensity.
    Article Snippet: The pathological hallmarks of amyotrophic lateral sclerosis (ALS) are degeneration of the primary motor cortex grey matter (GM) and corticospinal tract (CST) resulting in upper motor neuron (UMN) dysfunction.. Conventional brain magnetic resonance imaging (MRI) shows abnormal CST hyperintensity in some UMN-predominant ALS patients (ALS-CST+) but not in others (ALS-CST–).. In addition to the CST differences, we aimed to determine whether GM degeneration differs between ALS-CST+ and ALS-CST– patients by cortical thickness (CT), voxelbased morphometry (VBM) and fractal dimension analyses.

    Article Title: Brain Parenchymal Fraction: A Relatively Simple MRI Measure to Clinically Distinguish ALS Phenotypes
    Article Snippet: Similar reductions in BPF and GMPF were significant in ALS-FTD patients when compared to other ALS subgroups (ALS-CST+, ALS-CST−, and ALS-Cl).

    Article Title: Distinct patterns of cortical atrophy in ALS patients with or without dementia: an MRI VBM study.
    Article Snippet: Voxel based morphometry (VBM) allows objective and automated detection of structural changes in brains of patients with amyotrophic lateral sclerosis (ALS).. We investigated whether VBM could identify cortical atrophy from T1-weighted images obtained during routine 1.5T studies of ALS patients with various clinically defi ned phenotypes.. For this purpose T1-weighted brain MRI was obtained at 1.5T during routine clinical study in neurologic disease controls ( n 15) and ALS patients ( n 88) categorized into four subgroups based on their clinical phenotypes: predominant upper motor neuron (UMN) dysfunction with or without corticospinal tract (CST) hyperintensity (ALS-CST / – ), combined UMN and prominent lower motor neuron (LMN) dysfunction (classic ALS), and frontotemporal dementia (ALS-FTD).

    Article Title: Unbiased MRI Analyses Identify Micropathologic Differences Between Upper Motor Neuron-Predominant ALS Phenotypes
    Article Snippet: Differences in the DTT findings between the two groups are supplemented by clinical observations of significantly shorter duration of symptoms prior to MRI in the ALS-CST+ group (9.6 ± 5.5 months, mean ± SD) compared to ALS-CST- group (36.4 ± 44.2 months, P < 0.001), as previously reported ( ; ).

    Article Title: Quantitative Brain MRI Metrics Distinguish Four Different ALS Phenotypes: A Machine Learning Based Study.
    Article Snippet: Considering clinical, GM, and WM features independently, the following accuracies were observed: (1) clinical measures alone provided an accuracy of 55% when considering all ALS phenotypes, 88% when classifying ALS-CST+ from ALS-CST− subgroups, and 77% when classifying ALS-Cl from ALS-FTD subgroups; (2) GM measures alone gave an accuracy of only 28% when stratifying controls and all ALS phenotypes; 57% when classifying controls, ALS-CST+, and ALS-CST− subgroups; and 50% when classifying controls, ALS-Cl, and ALS-FTD subgroups; and (3) WM measures alone produced an accuracy of 66% when classifying between controls and all ALS phenotypes; 58% when classifying controls, ALS-CST+, and ALS-CST subgroups; and also 58% when classifying controls, ALS-Cl, and ALS-FTD subgroups.

    Biomarker Discovery:

    Article Title: Differing patterns of cortical grey matter pathology identified by multifractal analysis in UMN-predominant ALS patients with and without corticospinal tract hyperintensity.
    Article Snippet: The pathological hallmarks of amyotrophic lateral sclerosis (ALS) are degeneration of the primary motor cortex grey matter (GM) and corticospinal tract (CST) resulting in upper motor neuron (UMN) dysfunction.. Conventional brain magnetic resonance imaging (MRI) shows abnormal CST hyperintensity in some UMN-predominant ALS patients (ALS-CST+) but not in others (ALS-CST–).. In addition to the CST differences, we aimed to determine whether GM degeneration differs between ALS-CST+ and ALS-CST– patients by cortical thickness (CT), voxelbased morphometry (VBM) and fractal dimension analyses.

    Article Title: Brain Parenchymal Fraction: A Relatively Simple MRI Measure to Clinically Distinguish ALS Phenotypes
    Article Snippet: Similar reductions in BPF and GMPF were significant in ALS-FTD patients when compared to other ALS subgroups (ALS-CST+, ALS-CST−, and ALS-Cl).

    Article Title: Distinct patterns of cortical atrophy in ALS patients with or without dementia: an MRI VBM study.
    Article Snippet: Voxel based morphometry (VBM) allows objective and automated detection of structural changes in brains of patients with amyotrophic lateral sclerosis (ALS).. We investigated whether VBM could identify cortical atrophy from T1-weighted images obtained during routine 1.5T studies of ALS patients with various clinically defi ned phenotypes.. For this purpose T1-weighted brain MRI was obtained at 1.5T during routine clinical study in neurologic disease controls ( n 15) and ALS patients ( n 88) categorized into four subgroups based on their clinical phenotypes: predominant upper motor neuron (UMN) dysfunction with or without corticospinal tract (CST) hyperintensity (ALS-CST / – ), combined UMN and prominent lower motor neuron (LMN) dysfunction (classic ALS), and frontotemporal dementia (ALS-FTD).

    Article Title: Unbiased MRI Analyses Identify Micropathologic Differences Between Upper Motor Neuron-Predominant ALS Phenotypes
    Article Snippet: Differences in the DTT findings between the two groups are supplemented by clinical observations of significantly shorter duration of symptoms prior to MRI in the ALS-CST+ group (9.6 ± 5.5 months, mean ± SD) compared to ALS-CST- group (36.4 ± 44.2 months, P < 0.001), as previously reported ( ; ).

    Article Title: Quantitative Brain MRI Metrics Distinguish Four Different ALS Phenotypes: A Machine Learning Based Study.
    Article Snippet: Considering clinical, GM, and WM features independently, the following accuracies were observed: (1) clinical measures alone provided an accuracy of 55% when considering all ALS phenotypes, 88% when classifying ALS-CST+ from ALS-CST− subgroups, and 77% when classifying ALS-Cl from ALS-FTD subgroups; (2) GM measures alone gave an accuracy of only 28% when stratifying controls and all ALS phenotypes; 57% when classifying controls, ALS-CST+, and ALS-CST− subgroups; and 50% when classifying controls, ALS-Cl, and ALS-FTD subgroups; and (3) WM measures alone produced an accuracy of 66% when classifying between controls and all ALS phenotypes; 58% when classifying controls, ALS-CST+, and ALS-CST subgroups; and also 58% when classifying controls, ALS-Cl, and ALS-FTD subgroups.



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    Eigenvectors overlying deviated CST in <t>ALS</t> . Coronal ( A ) and axial ( B ) views of a brain fractional anisotropy MRI from an ALS patient with corticospinal tract (CST) <t>hyperintensity</t> <t>(ALS-CST+),</t> show tractography-derived CST (blue) and superior longitudinal fasciculus (SLF, green) at the level of centrum semiovale at top of lateral ventricle. Higher magnification coronal ( C ) and axial ( D ) views, where clearly seen overlying eigenvectors show virtual CST fibres in the right hemisphere entering the SLF and becoming truncated, while those in the left hemisphere do not.
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    Eigenvectors overlying deviated CST in <t>ALS</t> . Coronal ( A ) and axial ( B ) views of a brain fractional anisotropy MRI from an ALS patient with corticospinal tract (CST) <t>hyperintensity</t> <t>(ALS-CST+),</t> show tractography-derived CST (blue) and superior longitudinal fasciculus (SLF, green) at the level of centrum semiovale at top of lateral ventricle. Higher magnification coronal ( C ) and axial ( D ) views, where clearly seen overlying eigenvectors show virtual CST fibres in the right hemisphere entering the SLF and becoming truncated, while those in the left hemisphere do not.
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    Eigenvectors overlying deviated CST in <t>ALS</t> . Coronal ( A ) and axial ( B ) views of a brain fractional anisotropy MRI from an ALS patient with corticospinal tract (CST) <t>hyperintensity</t> <t>(ALS-CST+),</t> show tractography-derived CST (blue) and superior longitudinal fasciculus (SLF, green) at the level of centrum semiovale at top of lateral ventricle. Higher magnification coronal ( C ) and axial ( D ) views, where clearly seen overlying eigenvectors show virtual CST fibres in the right hemisphere entering the SLF and becoming truncated, while those in the left hemisphere do not.
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    Image Search Results


    Eigenvectors overlying deviated CST in ALS . Coronal ( A ) and axial ( B ) views of a brain fractional anisotropy MRI from an ALS patient with corticospinal tract (CST) hyperintensity (ALS-CST+), show tractography-derived CST (blue) and superior longitudinal fasciculus (SLF, green) at the level of centrum semiovale at top of lateral ventricle. Higher magnification coronal ( C ) and axial ( D ) views, where clearly seen overlying eigenvectors show virtual CST fibres in the right hemisphere entering the SLF and becoming truncated, while those in the left hemisphere do not.

    Journal: Brain Communications

    Article Title: Detour ahead: possible causes of corticospinal tract truncation in upper motor neuron–predominant amyotrophic lateral sclerosis

    doi: 10.1093/braincomms/fcaf419

    Figure Lengend Snippet: Eigenvectors overlying deviated CST in ALS . Coronal ( A ) and axial ( B ) views of a brain fractional anisotropy MRI from an ALS patient with corticospinal tract (CST) hyperintensity (ALS-CST+), show tractography-derived CST (blue) and superior longitudinal fasciculus (SLF, green) at the level of centrum semiovale at top of lateral ventricle. Higher magnification coronal ( C ) and axial ( D ) views, where clearly seen overlying eigenvectors show virtual CST fibres in the right hemisphere entering the SLF and becoming truncated, while those in the left hemisphere do not.

    Article Snippet: DTI scans were acquired from 14 neurological controls and 45 ALS patients categorized into the following clinical phenotypes: UMN-predominant with CST hyperintensity (ALS-CST+) ( n = 21, 14 male, 7 female; age 52.3 ± 11.4 years, mean ± standard deviation (SD), and UMN-predominant without CST hyperintensity (ALS-CST−) ( n = 24, 13 male, 11 female; age 58.3 ± 11.4 years).

    Techniques: Derivative Assay

    Descriptions of bacterial strains used in this study

    Journal: Journal of Bacteriology

    Article Title: Vaginal community state types (CSTs) alter environmental cues and production of the Staphylococcus aureus toxic shock syndrome toxin-1 (TSST-1)

    doi: 10.1128/jb.00447-23

    Figure Lengend Snippet: Descriptions of bacterial strains used in this study

    Article Snippet: TABLE 1 Strain Description Source S. aureus MN8 Prototypic mTSS strain Blomster-Hautamaa et al. ( 59 ) S. aureus MN8 ∆ ccpA MN8 with a deletion of ccpA Dufresne et al. ( 8 ) S. aureus MN8 pAmilux::P tst MN8 containing pAmilux::P tst and Cm10 resistance Li et al. ( 47 ) S. aureus MN8 ∆ ccpA pAmilux::P tst MN8 ∆ ccpA containing pAmilux::P tst and Cm10 resistance Dufresne et al. ( 8 ) L. crispatus ATCC 33820 Representative strain of CST I ATCC L. gasseri ATCC 33323 Representative strain of CST II ATCC L. jensenii ATCC 25258 Representative strain of CST V ATCC L. iners AB-1 Representative strain of CST III Macklaim et al. ( 56 ) G. vaginalis ATCC 14018 Representative strain of CST IV ATCC Open in a separate window Descriptions of bacterial strains used in this study.

    Techniques: