<i>In Vitro</i> Techniques
Bibliographic record
Abstract
This chapter contains sections titled: Introduction Nuclear components Protocols 6.1 Nucleosome assembly coupled to DNA repair synthesis using a human cell free system Protocols 6.2 Single labelling of nascent DNA with halogenated thymidine analogues Protocols 6.3 Double labelling of DNA with different halogenated thymidine analogues Protocols 6.4 Simultaneous immunostaining of proteins and halogen-dU-substituted DNA Protocols 6.5 Uncovering the nuclear matrix in cultured cells Protocols 6.6 Nuclear matrix–lamin interactions: in vitro blot overlay assay Protocols 6.7 Nuclear matrix–lamin interactions: in vitro nuclear reassembly assay Protocols 6.8 Preparation of Xenopus laevis egg extracts and immunodepletion Protocols 6.9 Nuclear assembly in vitro and immunofluorescence Protocols 6.10 Nucleocytoplasmic transport measurements using isolated Xenopus oocyte nuclei Protocols 6.11 Transport measurements in microarrays of nuclear envelope patches by optical single transporter recording Cells and membrane systems Protocols 6.12 Cell permeabilization with Streptolysin O Protocols 6.13 Nanocapsules: a new vehicle for intracellular delivery of drugs Protocols 6.14 A rapid screen for determination of the protective role of antioxidant proteins in yeast Protocols 6.15 In vitro assessment of neuronal apoptosis Protocols 6.16 The mitochondrial permeability transition: PT and ΔΨm loss determined in cells or isolated mitochondria with confocal laser imaging Protocols 6.17 The mitochondrial permeability transition: measuring PT and ΔΨmm loss in isolated mitochondria with Rh123 in a fluorometer Protocols 6.18 The mitochondrial permeability transition: measuring PT and ΔΨmm loss in cells and isolated mitochondria on the FACS Protocols 6.19 Measuring cytochrome c release in isolated mitochondria by Western blot analysis Protocols 6.20 Protein import into isolated mitochondria Protocols 6.21 Formation of ternary SNARE complexes in vitro Protocols 6.22 In vitro reconstitution of liver endoplasmic reticulum Protocols 6.23 Asymmetric incorporation of glycolipids into membranes and detection of lipid flip-flop movement Protocols 6.24 Purification of clathrin-coated vesicles from rat brains Protocols 6.25 Reconstitution of endocytic intermediates on a lipid monolayer Protocols 6.26 Golgi membrane tubule formation Protocols 6.27 Tight junction assembly Protocols 6.28 Reconstitution of the major light-harvesting chlorophyll a/b complex into liposomes Protocols 6.29 Reconstitution of photosystem 2 into liposomes Protocols 6.30 Golgi–vimentin interaction in vitro and in vivo Cytoskeletal and fibrillar systems Protocols 6.31 Microtubule peroxisome interaction Protocols 6.32 Detection of cytomatrix proteins by immunogold embedment-free electron microscopy Protocols 6.33 Tubulin assembly induced by taxol and other microtubule assembly promoters Protocols 6.34 Vimentin production, purification, assembly and study by EPR Protocols 6.35 Neurofilament assembly Protocols 6.36 α-Synuclein fibril formation induced by tubulin Protocols 6.37 Amyloid-β fibril formation in vitro Protocols 6.38 Soluble Aβ1−42 peptide induces tau hyperphosphorylation in vitro Protocols 6.39 Anti-sense peptides Protocols 6.40 Interactions between amyloid-β and enzymes Protocols 6.41 Amyloid-β phosphorylation Protocols 6.42 Smitin–myosin II coassembly arrays in vitro Protocols 6.43 Assembly/disassembly of myosin filaments in the presence of EF-hand calcium-binding protein S100A4 in vitro Protocols 6.44 Collagen fibril assembly in vitro
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.053 | 0.093 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".