Aggregation and Oligomerization Characterization of ß-Lactoglobulin Protein Using a Solid-State Nanopore Sensor.

Protein aggregation is linked to many chronic and devastating neurodegenerative human diseases and is strongly associated with aging. This work demonstrates that protein aggregation and oligomerization can be evaluated by a solid-state nanopore method at the single molecule level. A silicon nitride nanopore sensor was used to characterize both the amyloidogenic and native-state oligomerization of a model protein ß-lactoglobulin variant A (ßLGa). The findings from the nanopore measurements are validated against atomic force microscopy (AFM) and dynamic light scattering (DLS) data, comparing ßLGa aggregation from the same samples at various stages. By calibrating with linear and circular dsDNA, this study estimates the amyloid fibrils' length and diameter, the quantity of the ßLGa aggregates, and their distribution. The nanopore results align with the DLS and AFM data and offer additional insight at the level of individual protein molecular assemblies. As a further demonstration of the nanopore technique, ßLGa self-association and aggregation at pH 4.6 as a function of temperature were measured at high (2 M KCl) and low (0.1 M KCl) ionic strength. This research highlights the advantages and limitations of using solid-state nanopore methods for analyzing protein aggregation.

Estimating RNA Polymerase Protein Binding Sites on λ DNA Using Solid-State Nanopores.

In this work, using a silicon nitride nanopore based device, we measure the binding locations of RNA Polymerase (RNAP) on 48.5 kbp (16.5 µm) long λ DNA. To prevent the separation of bound RNAPs from a λ DNA molecule in the high electric field inside a nanopore, we cross-linked RNAP proteins to λ DNA by formaldehyde. We compare the current blockage event data measured with a mixture of λ DNA and RNAP under cross-link conditions with our control samples: RNAP, λ DNA, RNAP, and λ DNA incubated in formaldehyde separately and in a mixture. By analyzing the time durations and amplitudes of current blockage signals of events and their subevents, as well as subevent starting times, we can estimate the binding efficiency and locations of RNAPs on a λ DNA. Our data analysis shows that under the conditions of our experiment with the ratio of 6 to 1 for RNAP to λ DNA molecules, the probability of an RNAP molecule to bind a λ DNA is ∼42%, and that RNAP binding has a main peak at 3.51 µm ± 0.53 µm, most likely corresponding to the two strong promoter regions at 3.48 and 4.43 µm of λ DNA. However, individual RNAP binding sites were not distinguished with this nanopore setup. This work brings out new perspectives and complications to study transcription factor RNAP binding at various positions on very long DNA molecules.