Identification of genes periodically expressed in the human cell cycle and their expression in tumors.

By Michael L. Whitfield, Gavin Sherlock, Alok J. Saldanha, J. Murray, C. Ball, K. Alexander, J. Matese, Charles M. Perou, M. Hurt, Patrick O. Brown and 1 more. Molecular Biology of the Cell, 2002

1,616 citations recorded by the source corpus.

Subfields: Molecular Biology, Oncology

View Paper: https://www.semanticscholar.org/paper/5f2199e859148f6084ab23d19381b4cc45dbcd12

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Citations in the corpus

Chromosome aberrations in solid tumors (2003, background): “Transcription analyses of most known genes and a substantial number of splice variants are already possible using cDN”
Most Random Gene Expression Signatures Are Significantly Associated with Breast Cancer Outcome (2011, background): “Cycling cells express thousands of specific genes [49], thus genome-wide expression profiles are likely to capture the fraction of cycling cells within a tissue.”
Single-cell entropy for accurate estimation of differentiation potency from a cell's transcriptome (2017, methodology): “A cycling score for both G1-S and G2-M phases and for each cell was obtained using a validated procedure 23,32,33 , and compared to signalling entropy, which revealed a strong yet highly non-linear correlation (Supplementary Fig.”
Myc-driven murine prostate cancer shares molecular features with human prostate tumors. (2003, positive): “We then identified the hunificant overlap (Lam et al., 2001; Perou et al., 1999; Rosenwald man orthologs for these genes using the HomoloGene database et al., 2003; Whitfield et al., 2002).”
The Transcriptome of the Intraerythrocytic Developmental Cycle of Plasmodium falciparum (2003, methodology): “The P. falciparum IDC significantly differs from the cell cycles of the yeast S. cerevisiae (Spellman et al. 1998) and human HeLa (Whitfield et al. 2002) cells, during which only 15% of the total genome is periodically regulated.”
A signature of chromosomal instability inferred from gene expression profiles predicts clinical outcome in multiple human cancers (2006, background): “Previous work has examined genome-wide patterns of gene expression over time in synchronized HeLa cell”
Global organization of replication time zones of the mouse genome. (2008, methodology): “…the time in which half of the replication occurs (TR50) (Jeon et al. 2005), and (2) fit each of the replication vectors (defined by the seven enrichment values) to several predefined distinct replication patterns using a supervised clustering approach (Spellman et al. 1998; Whitfield et al. 2002).”
Genome-wide in silico identification of transcriptional regulators controlling the cell cycle in human cells. (2003, background): “(Whitfield et al. 2002) partitioned the cell cycle regulated genes according to their expression periodicity patterns into five clusters, corresponding to cell cycle phases G1/S, S, G2, G2/M and M/G1.”
Common markers of proliferation (2006, background): “E2F1 itself is also a member of the proliferation-associated gene-expression pattern, which indicates that transcription factors and their transcriptional targets are often co-regulated and therefore group together in a hierarchical clustering analysi”
Single-cell RNA-seq reveals changes in cell cycle and differentiation programs upon aging of hematopoietic stem cells (2015, background): “New advances in single-cell genomics (Wills et al. 2013), especially single-cell RNA-seq (Hashimshony et al. 2012; Ramskold et al. 2012), have opened the way to characterize distinct 8These authors contributed equally to this work.”
SOURCE: a unified genomic resource of functional annotations, ontologies, and gene expression data (2003, background): “Figure 2A shows the SOURCE display for the gene expression of DNA topoisomerase II alpha (TOP2A) across the cell cycle of HeLa cells (13).”