The DOI matches its Crossref record.
Large-Scale Transcriptional Activity in Chromosomes 21 and 22
Abstract
The sequences of the human chromosomes 21 and 22 indicate that there are approximately 770 well-characterized and predicted genes. In this study, empirically derived maps identifying active areas of RNA transcription on these chromosomes have been constructed with the use of cytosolic polyadenylated RNA obtained from 11 human cell lines. Oligonucleotide arrays containing probes spaced on average every 35 base pairs along these chromosomes were used. When compared with the sequence annotations available for these chromosomes, it is noted that as much as an order of magnitude more of the genomic sequence is transcribed than accounted for by the predicted and characterized exons.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Initial sequencing and comparative analysis of the mouse genome
Mouse Genome Sequencing Consortium (2002) · Nature · doi:10.1038/nature01262 · Cited by 7,187
A bivalent chromatin structure marks key developmental genes in embryonic stem cells
Bernstein, B. E., Mikkelsen, T. S., Xie, X., Kamal, M., Huebert, D. J., Cuff, J., Fry, B., Meissner, A., Wernig, M., Plath, K., et al. (2006) · Cell · doi:10.1016/j.cell.2006.02.041 · Cited by 5,361
The ENCODE Project Consortium (2007) · Nature · doi:10.1038/nature05874 · Cited by 5,223
Finishing the euchromatic sequence of the human genome
International Human Genome Sequencing Consortium (2004) · Nature · doi:10.1038/nature03001 · Cited by 4,971
Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals
Guttman, M., Amit, I., Garber, M., French, C., Lin, M. F., Feldser, D., Huarte, M., Zuk, O., Carey, B. W., Cassady, J. P., et al. (2009) · Nature · doi:10.1038/nature07672 · Cited by 4,098
“Having identified K4–K36 loci with no previous annotation, we addressed: (1) whether these gene loci produce large multi-exonic RNA molecules; (2) whether the RNA molecules encode proteins or are non-coding transcripts; and (3) whether the RNA molecules, their promoters and their chromatin structure show conservation…”
BackgroundThe Transcriptional Landscape of the Yeast Genome Defined by RNA Sequencing
Nagalakshmi, U., Wang, Z., Waern, K., Shou, C., Raha, D., Gerstein, M., & Snyder, M. (2008) · Science · doi:10.1126/science.1158441 · Cited by 2,479
Carroll, J. S., Liu, X. S., Brodsky, A. S., Li, W., Meyer, C. A., Szary, A. J., Eeckhoute, J., Shao, W., Hestermann, E. V., Geistlinger, T. R., et al. (2005) · Cell · doi:10.1016/j.cell.2005.05.008 · Cited by 1,384
Saxonov, S., Berg, P., & Brutlag, D. L. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0510310103 · Cited by 1,401
Phylogenetic Shadowing and Computational Identification of Human microRNA Genes
Berezikov, E., Guryev, V., van de Belt, J., Wienholds, E., Plasterk, R. H. A., & Cuppen, E. (2005) · Cell · doi:10.1016/j.cell.2004.12.031 · Cited by 1,270
Cawley, S., Bekiranov, S., Ng, H. H., Kapranov, P., Sekinger, E. A., Kampa, D., Piccolboni, A., Sementchenko, V., Cheng, J., Williams, A. J., et al. (2004) · Cell · doi:10.1016/s0092-8674(04)00127-8 · Cited by 1,095
Self-citationComputational methods for transcriptome annotation and quantification using RNA-seq
Garber, M., Grabherr, M. G., Guttman, M., & Trapnell, C. (2011) · Nature Methods · doi:10.1038/nmeth.1613 · Cited by 1,042
Initial impact of the sequencing of the human genome
Lander, E. S. (2011) · Nature · doi:10.1038/nature09792 · Cited by 1,044
Complete sequencing and characterization of 21,243 full-length human cDNAs
Ota, T., Suzuki, Y., Nishikawa, T., Otsuki, T., Sugiyama, T., Irie, R., Wakamatsu, A., Hayashi, K., Sato, H., Nagai, K., et al. (2004) · Nature Genetics · doi:10.1038/ng1285 · Cited by 925
Dynamic genome architecture in the nuclear space: regulation of gene expression in three dimensions
Lanctôt, C., Cheutin, T., Cremer, M., Cavalli, G., & Cremer, T. (2007) · Nature Reviews Genetics · doi:10.1038/nrg2041 · Cited by 781
Hangauer, M. J., Vaughn, I. W., & McManus, M. T. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003569 · Cited by 738
Chromosome 21 and Down syndrome: from genomics to pathophysiology
Antonarakis, S. E., Lyle, R., Dermitzakis, E. T., Reymond, A., & Deutsch, S. (2004) · Nature Reviews Genetics · doi:10.1038/nrg1448 · Cited by 703
A High-Resolution Anatomical Atlas of the Transcriptome in the Mouse Embryo
Diez-Roux, G., Banfi, S., Sultan, M., Geffers, L., Anand, S., Rozado, D., Magen, A., Canidio, E., Pagani, M., Peluso, I., et al. (2011) · PLoS Biology · doi:10.1371/journal.pbio.1000582 · Cited by 638
Annotating non-coding regions of the genome.
Alexander, R. P., Fang, G., Rozowsky, J., Snyder, M., & Gerstein, M. B. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2814 · Cited by 464
Aït Yahya-Graison, E., Aubert, J., Dauphinot, L., Rivals, I., Prieur, M., Golfier, G., Rossier, J., Personnaz, L., Créau, N., Bléhaut, H., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/520000 · Cited by 338
Pan, Q., Shai, O., Misquitta, C., Zhang, W., Saltzman, A. L., Mohammad, N., Babak, T., Siu, H., Hughes, T. R., Morris, Q. D., et al. (2004) · Molecular Cell · doi:10.1016/j.molcel.2004.12.004 · Cited by 323
MicroRNAs, new effectors and regulators of NF‐κB
Boldin, M. P., & Baltimore, D. (2012) · Immunological Reviews · doi:10.1111/j.1600-065x.2011.01089.x · Cited by 199
What would you do if you could sequence everything?
Kahvejian, A., Quackenbush, J., & Thompson, J. F. (2008) · Nature Biotechnology · doi:10.1038/nbt1494 · Cited by 189
Rapid and Deep Human Proteome Analysis by Single-dimension Shotgun Proteomics
Pirmoradian, M., Budamgunta, H., Chingin, K., Zhang, B., Astorga-Wells, J., & Zubarev, R. A. (2013) · Molecular & Cellular Proteomics · doi:10.1074/mcp.o113.028787 · Cited by 144
The Transcriptome of the Sea Urchin Embryo
Samanta, M. P., Tongprasit, W., Istrail, S., Cameron, R. A., Tu, Q., Davidson, E. H., & Stolc, V. (2006) · Science · doi:10.1126/science.1131898 · Cited by 102
From “Cellular” RNA to “Smart” RNA: Multiple Roles of RNA in Genome Stability and Beyond
Michelini, F., Jalihal, A. P., Francia, S., Meers, C., Neeb, Z. T., Rossiello, F., Gioia, U., Aguado, J., Jones-Weinert, C., Luke, B., et al. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00487 · Cited by 85
Hashimoto, K., Suzuki, A. M., Dos Santos, A., Desterke, C., Collino, A., Ghisletti, S., Braun, E., Bonetti, A., Fort, A., Qin, X.-Y., et al. (2015) · Genome Research · doi:10.1101/gr.191031.115 · Cited by 64
Plomin, R., & Davis, O. S. P. (2009) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2008.01978.x · Cited by 59
Biemar, F., Nix, D. A., Piel, J., Peterson, B., Ronshaugen, M., Sementchenko, V., Bell, I., Manak, J. R., & Levine, M. S. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0604484103 · Cited by 53
Oscillatory Behaviors of microRNA Networks: Emerging Roles in Retinal Development
Fishman, E. S., Han, J. S., & La Torre, A. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2022.831750 · Cited by 16
Metadata
- Authors
- Kapranov, P., Cawley, S. E., Drenkow, J., Bekiranov, S., Strausberg, R. L., Fodor, S. P. A., & Gingeras, T. R.
- Venue
- Science
- Published
- 2002-05-03
- Volume
- 296
- Issue
- 5569
- Pages
- 916-919
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2016927884
- Cited by
- 869
- References
- 0
- FWCI
- 26.24
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.