Albino Bacolla

Dr. Albino Bacolla


Research Focus & Metrics

Academic Career Length

50Years (1977-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 1999 in Journal of Biological Chemistry
Verified
Journal Article
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SPSriharsa Pradhan
Sriharsa Pradhan
ABAlbino Bacolla
Albino Bacolla
RWRobert D. Wells
Robert D. Wells
RRRichard and Jean Roberts
Richard and Jean Roberts
A method is described to express and purify human DNA (cytosine-5) methyltransferase (human DNMT1) using a protein splicing (intein) fusion partner in a baculovirus expression vector. The system produces ∼1 mg of intact recombinant enzyme >95% pure per 1.5 × 109 insect cells. The protein lacks any affinity tag and is identical to the native enzyme except for the two C-terminal amino acids, proline and glycine, that were substituted for lysine and aspartic acid for optimal cleavage from the intein affinity tag. Human DNMT1 was used for steady-state kinetic analysis with poly(dI-dC)·poly(dI-dC) and unmethylated and hemimethylated 36- and 75-mer oligonucleotides. The turnover number (k cat) was 131–237 h−1 on poly(dI-dC)·poly(dI-dC), 1.2–2.3 h−1 on unmethylated DNA, and 8.3–49 h−1 on hemimethylated DNA. The Michaelis constants for DNA (K m CG) andS-adenosyl-l-methionine (AdoMet) (K m AdoMet) ranged from 0.33–1.32 and 2.6–7.2 μm, respectively, whereas the ratio ofk cat/K m CGranged from 3.9 to 44 (237–336 for poly(dI-dC)·poly(dI-dC)) × 106 m −1 h−1. The preference of the enzyme for hemimethylated, over unmethylated, DNA was 7–21-fold. The values of k cat on hemimethylated DNAs showed a 2–3-fold difference, depending upon which strand was pre-methylated. Furthermore, human DNMT1 formed covalent complexes with substrates containing 5-fluoro-CNG, indicating that substrate specificity extended beyond the canonical CG dinucleotide. These results show that, in addition to maintenance methylation, human DNMT1 may also carry out de novo and non-CG methyltransferase activities in vivo.

1 September 2009 in Cellular and Molecular Life Sciences
Verified
Journal Article
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JZJunhua Zhao
Junhua Zhao
ABAlbino Bacolla
Albino Bacolla
GWGuliang Wang
Guliang Wang
KVKaren M. Vasquez
Karen M. Vasquez

1 November 2004 in Journal of Biological Chemistry
Verified
Journal Article
Open access
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ABAlbino Bacolla
Albino Bacolla
RWRobert D. Wells
Robert D. Wells
Albino Bacolla, Robert D. Wells

2 November 2012 in Nucleic Acids Research
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Journal Article
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RCRegina Z. Cer
Regina Z. Cer
DDDuncan E. Donohue
Duncan E. Donohue
UMUma S. Mudunuri
Uma S. Mudunuri
NTNuri A. Temiz
Nuri A. Temiz
MLMichael A. Loss
Michael A. Loss
RSRobert M. Stephens
Robert M. Stephens
The non-B DB, available at http://nonb.abcc.ncifcrf.gov, catalogs predicted non-B DNA-forming sequence motifs, including Z-DNA, G-quadruplex, A-phased repeats, inverted repeats, mirror repeats, direct repeats and their corresponding subsets: cruciforms, triplexes and slipped structures, in several genomes. Version 2.0 of the database revises and re-implements the motif discovery algorithms to better align with accepted definitions and thresholds for motifs, expands the non-B DNA-forming motifs coverage by including short tandem repeats and adds key visualization tools to compare motif locations relative to other genomic annotations. Non-B DB v2.0 extends the ability for comparative genomics by including re-annotation of the five organisms reported in non-B DB v1.0, human, chimpanzee, dog, macaque and mouse, and adds seven additional organisms: orangutan, rat, cow, pig, horse, platypus and Arabidopsis thaliana. Additionally, the non-B DB v2.0 provides an overall improved graphical user interface and faster query performance.

17 September 2004 in Proceedings of the National Academy of Sciences
Verified
Journal Article
Closed access
ABAlbino Bacolla
Albino Bacolla
AJAdam Jaworski
Adam Jaworski
JLJacquelynn E. Larson
Jacquelynn E. Larson
JJJohn P. Jakupciak
John P. Jakupciak
NCNadia Chuzhanova
Nadia Chuzhanova
RWRobert D. Wells
Robert D. Wells
Genomic rearrangements are a frequent source of instability, but the mechanisms involved are poorly understood. A 2.5-kbp poly(purine·pyrimidine) sequence from the human PKD1 gene, known to form non-B DNA structures, induced long deletions and other instabilities in plasmids that were mediated by mismatch repair and, in some cases, transcription. The breakpoints occurred at predicted non-B DNA structures. Distance measurements also indicated a significant proximity of alternating purine-pyrimidine and oligo(purine·pyrimidine) tracts to breakpoint junctions in 222 gross deletions and translocations, respectively, involved in human diseases. In 11 deletions analyzed, breakpoints were explicable by non-B DNA structure formation. We conclude that alternative DNA conformations trigger genomic rearrangements through recombination-repair activities.

15 April 2016 in Nucleic Acids Research
Verified
Journal Article
Open access
PDF file
ABAlbino Bacolla
Albino Bacolla
JTjohn Tainer
john Tainer
Karen M. VasquezKaren M. Vasquez
Karen M. Vasquez
DCDavid N. Cooper
David N. Cooper
Gross chromosomal rearrangements (including translocations, deletions, insertions and duplications) are a hallmark of cancer genomes and often create oncogenic fusion genes. An obligate step in the generation of such gross rearrangements is the formation of DNA double-strand breaks (DSBs). Since the genomic distribution of rearrangement breakpoints is non-random, intrinsic cellular factors may predispose certain genomic regions to breakage. Notably, certain DNA sequences with the potential to fold into secondary structures [potential non-B DNA structures (PONDS); e.g. triplexes, quadruplexes, hairpin/cruciforms, Z-DNA and single-stranded looped-out structures with implications in DNA replication and transcription] can stimulate the formation of DNA DSBs. Here, we tested the postulate that these DNA sequences might be found at, or in close proximity to, rearrangement breakpoints. By analyzing the distribution of PONDS-forming sequences within ±500 bases of 19 947 translocation and 46 365 sequence-characterized deletion breakpoints in cancer genomes, we find significant association between PONDS-forming repeats and cancer breakpoints. Specifically, (AT)n, (GAA)n and (GAAA)n constitute the most frequent repeats at translocation breakpoints, whereas A-tracts occur preferentially at deletion breakpoints. Translocation breakpoints near PONDS-forming repeats also recur in different individuals and patient tumor samples. Hence, PONDS-forming sequences represent an intrinsic risk factor for genomic rearrangements in cancer genomes.