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In contrast to most described SELEX methods, our approach relies on CS-SELEX to evolve aptamers for whole live cells that express a variety of surface markers representing molecular differences among different cells.
Discerning interclade and intraclade glycosylation variations could provide valuable information in understanding the molecular differences among the different HIV-1 clades and in designing new Env-based immunogens.
1D 1H-NMR spectra did not reveal significant molecular differences among size fractions, although all of them differed from the spectrum of the bulk RES4 especially in signal intensity for aliphatic materials, which were assigned by 2D NMR to lipidic structures.
Breast cancer is a clinically heterogeneous disease, and it is generally accepted that the different clinical courses of patients with histologically similar tumors are due to molecular differences among cancers.
The scale of the metabolomics component is highlighted here, not to assert preeminence, but to illustrate the essential and prominent role that metabolomics can play in providing real time insights into molecular differences among individuals, and how such information can inform about treatment outcomes and contribute to success of precision medicine programs.
Recent studies have revealed the molecular differences among the neighbouring dopaminergic neurons within the ventral midbrain [3], [4], [5], highlighting the need for a better understanding the molecular make-up of these clinically important neuronal populations.
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Additionally, DIPG and midline pNBS-HGG vary in the frequency and specific histone H3 amino acid substitution compared with pNBS-HGGs arising in the cerebral hemispheres, demonstrating a molecular difference among pHGG subgroups.
These data support the view that important molecular differences exist among and between the Gleason scores.
Molecular differences even among tumors with similar pathological features have been unravelled and a new molecular taxonomy for breast cancer classification into several subgroups (luminal A and B, basal-like, HER2, normal breast-like) has been proposed.
Additionally, molecular differences exist among these distinct subpopulations of midbrain dopamine neurons, including the expression of somatodendritic D2-like autoreceptors, which has historically been used as a criterion for identifying dopamine neurons.
Haplotype frequencies and molecular differences of Y chromosome among haplogroups were taken into account.
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