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1.
Biotechnol J ; 14(7): e1800371, 2019 Jul.
Article in English | MEDLINE | ID: mdl-30793505

ABSTRACT

Early analytical clone screening is important during Chinese hamster ovary (CHO) cell line development of biotherapeutic proteins to select a clonally derived cell line with most favorable stability and product quality. Sensitive sequence confirmation methods using mass spectrometry have limitations in throughput and turnaround time. Next-generation sequencing (NGS) technologies emerged as alternatives for CHO clone analytics. We report an efficient NGS workflow applying the targeted locus amplification (TLA) strategy for genomic screening of antibody expressing CHO clones. In contrast to previously reported RNA sequencing approaches, TLA allows for targeted sequencing of genomic integrated transgenic DNA without prior locus information, robust detection of single-nucleotide variants (SNVs) and transgenic rearrangements. During clone selection, TLA/NGS revealed CHO clones with high-level SNVs within the antibody gene and we report in another case the utility of TLA/NGS to identify rearrangements at transgenic DNA level. We also determined detection limits for SNVs calling and the potential to identify clone contaminations by TLA/NGS. TLA/NGS also allows to identify genetically identical clones. In summary, we demonstrate that TLA/NGS is a robust screening method useful for routine clone analytics during cell line development with the potential to process up to 24 CHO clones in less than 7 workdays.


Subject(s)
DNA, Recombinant , High-Throughput Nucleotide Sequencing/methods , Sequence Analysis, DNA/methods , Animals , CHO Cells , Cricetinae , Cricetulus , DNA, Recombinant/classification , DNA, Recombinant/genetics
2.
Biostatistics ; 10(1): 106-20, 2009 Jan.
Article in English | MEDLINE | ID: mdl-18562348

ABSTRACT

Phylogeneticists have developed several statistical methods to infer recombination among molecular sequences that are evolutionarily related. Of these methods, Markov change-point models currently provide the most coherent framework. Yet, the Markov assumption is faulty in that the inferred relatedness of homologous sequences across regions divided by recombinant events is not independent, particularly for nonrecombinant sequences as they share the same history. To correct this limitation, we introduce a novel random tips (RT) model. The model springs from the idea that a recombinant sequence inherits its characters from an unknown number of ancestral full-length sequences, of which one only observes the incomplete portions. The RT model decomposes recombinant sequences into their ancestral portions and then augments each portion onto the data set as unique partially observed sequences. This data augmentation generates a random number of sequences related to each other through a single inferable tree with the same random number of tips. While intuitively pleasing, this single tree corrects the independence assumptions plaguing previous methods while permitting the detection of recombination. The single tree also allows for inference of the relative times of recombination events and generalizes to incorporate multiple recombinant sequences. This generalization answers important questions with which previous models struggle. For example, we demonstrate that a group of human immunodeficiency type 1 recombinant viruses from Argentina, previously thought to have the same recombinant history, actually consist of 2 groups: one, a clonal expansion of a reference sequence and another that predates the formation of the reference sequence. In another example, we demonstrate that 2 hepatitis B virus recombinant strains share similar splicing locations, suggesting a common descent of the 2 viruses. We implement and run both examples in a software package called StepBrothers, freely available to interested parties.


Subject(s)
DNA, Recombinant/classification , DNA, Viral/genetics , Evolution, Molecular , HIV-1/genetics , Hepatitis B virus/genetics , Argentina , Base Sequence , Bayes Theorem , China , Computational Biology/methods , DNA, Recombinant/genetics , DNA, Viral/classification , Humans , Neural Networks, Computer , Phylogeny , Recombination, Genetic , Sequence Analysis, DNA , Stochastic Processes
3.
J Neurosci ; 26(43): 11220-9, 2006 Oct 25.
Article in English | MEDLINE | ID: mdl-17065461

ABSTRACT

Flip and flop splice variants of AMPA receptor subunits are expressed in distinct but partly overlapping patterns and impart different desensitization kinetics to cognate receptor channels. In the absence of specific antibodies, isoform-specific differences in trafficking or localization of native flip and flop subunits remain uncharacterized. We report that in several transfected cell lines, transport of homomeric glutamate receptor (GluR)-D(flop) receptors is largely blocked at the endoplasmic reticulum (ER) exit, whereas GluR-D(flip) undergoes complex glycosylation and reaches the plasma membrane at >10x higher levels than GluR-D(flop), as determined by immunofluorescence, patch-clamp recordings and biochemical assays. The transport difference between flip and flop is independent of activity, is primarily determined by amino acid residue 780 (Leu in flop, Val in flip), and is manifested even in the secretion of the soluble ligand-binding domain, suggesting it is independent of oligomerization. Coexpression with stargazin or with the flip isoform rescues the surface expression of GluR-D(flop) near to the level exhibited by GluR-D(flip). Our results demonstrate that the extracellular flip/flop region, via interactions with ER luminal splice form-specific protein(s), plays a hitherto unappreciated and important role in AMPA-receptor trafficking.


Subject(s)
Genetic Variation/physiology , Receptors, AMPA/genetics , Receptors, AMPA/metabolism , Animals , COS Cells , Cells, Cultured , Chlorocebus aethiops , DNA, Recombinant/classification , DNA, Recombinant/genetics , DNA, Recombinant/metabolism , Humans , Mice , Protein Isoforms/classification , Protein Isoforms/genetics , Protein Isoforms/metabolism , Protein Transport/physiology , Rats , Receptors, AMPA/classification , Receptors, Glutamate/classification , Receptors, Glutamate/genetics , Receptors, Glutamate/metabolism
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