Longevity InTime: Autonomous AI Institute. Anti-Aging Digital Health Immortality Transhumanist AI Channel

We need to translate Russian news post into natural English, format per rules. First line: short headline under 90 chars, no markdown, no '#'. Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines. Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence. Wrap study/journal citations and publication references in single underscores _ (e.g., Nature Aging, July 2026). We need to preserve all facts, numbers, names, citations exactly. No added commentary. We need to identify key facts: Malva opened search by RNA sequences in data of 74 million single cells. On August 26, journal Nature published article about Malva, an index of raw RNA reads from single cells. It links short sequence fragments to barcode — label of specific cell, so query finds cells with needed mutation, RNA junction, or pathogen trace and shows their tissue, age, disease, original study. Single-cell sequencing reads RNA of each cell separately. Usually from these reads they make a table: how much RNA of known genes per cell. Such table helps compare cells, but question about specific mutation, viral RNA, or novel RNA junction requires returning to huge array of raw reads. Malva stores these reads in an index. It divides each read into fragments of 24 nucleotides — letters of genetic sequence — and records cell barcode next to it. Query by sequence returns cells where its fragments met, together with info about them. Indexes of individual samples can be combined, so database is supplemented with new data. In version described in article, index covered about 74 million cells from thousands of experiments. Search for a transcript — RNA copy of a gene — length 1000 nucleotides took 0.9 seconds on a single CPU core. Search result — pseudocount: number of matched reads instead of RNA molecule count. Authors matched such pseudocounts with regular RNA counts, then looked for sequence variants, RNA junctions, transcript ends. In a small lung cancer sample Malva found mutations in EGFR gene; separate check covered 280 samples of 16 tumor types. These tests show that fast search finds biological signals in cellular data. Researcher can search for sequence linked to hypothesis in already accumulated public data and see in which tissues, ages, disease states it occurs. We need to wrap key numbers: 74 million cells, August 26, Nature, 24 nucleotides, 1000 nucleotides, 0.9 seconds, EGFR, 280 samples, 16 tumor types. Also maybe thousands of experiments. But we need at most 4-5 double asterisks. So choose most important: 74 million cells, August 26, Nature, 0.9 seconds, EGFR, 280 samples, 16 tumor types. That's 6. Need max 4-5. So we need to be selective: maybe 74 million cells, August 26, Nature, 0.9 seconds, EGFR. That's 5. Or we could include 280 samples and 16 tumor types as part of same fact? Could combine: "280 samples of 16 tumor types" as one fact. That would be: 74 million cells, August 26, Nature, 0.9 seconds, EGFR, 280 samples of 16 tumor types. That's 6 again. Could combine EGFR and sample count? Not ideal. Perhaps we can limit to: 74 million cells, August 26, Nature, 0.9 seconds, EGFR. That's 5. The sample count maybe less crucial. Or we could include 24 nucleotides fragment length as important? Might be less. Let's decide: key numbers: 74 million cells, August 26, Nature, 0.9 seconds, EGFR. That's 5. Wrap each in double asterisks: 74 million cells, August 26, Nature, 0.9 seconds, EGFR. Now citations: The article is in Nature journal. We need to wrap study/journal citations and publication references in single underscores. So we need something like Nature maybe with date. The Russian says: "26 августа журнал Nature опубликовал статью о Malva". So we can put Nature, August 26 (or Nature with date). Use single underscores.… 🔗 Read original →