PATENT CLAIM ANALYSIS

Application Number: 16102905
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["424", "093710"]

Abstract:
The technology described herein relates, at least in part, to compositions comprising and methods for isolating and enriching natural IgM-producing phagocytic B (NIMPAB) cells and methods of producing IgM antibodies using such cells, as well as uses of the antibodies produced by the methods for the prevention and treatment of diseases wherein immunotherapy with such natural IgM antibodies and their derivatives can be useful.

Claim (Index 18):
A method for producing tissue-specific IgM antibodies comprising the steps of\n a. producing a hybridoma cell by fusing an isolated NIMPAB cell comprising (a) natural IgM-producing phagocytic lymphocyte (NIMPAB) cell; and (b) at least one particle comprising a superparamagnetic iron oxide nanoparticle (SPION), wherein the at least one particle is inside the NIMPAB cell with an immortalized cell; b. exposing the hybridoma cell to an optimal culture medium for a time sufficient to allow production of IgM antibodies thereby causing production of IgM antibodies; c. optionally screening for IgM antibodies against the tissue-sample; d. optionally isolating the IgM antibodies against the tissue-sample; and e. optionally purifying the isolated IgM antibodies against the tissue-sample.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 96.0
- Lexical Diversity: 1.4
- Patent Class: 424.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14346330', '14256777', '13363822', '13773718', '14906663']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6785538174383209
- 35 USC 102 Novelty (BERT): 0.5055873015362442
- Combined Prediction Score: 0.6612571658481132
- Mean Citation Score: 221.341476
- Max Citation Score: 252.30916
- Similarity Product: 169.1619325548935

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test